-
-
-
- 
- 
+ 
+ 
-
- 
+ 
+ 
-
-
+
+
-
-
+
+
-
-This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion.
-
-See a video of it in action: https://x.com/kwindla/status/1778628911817183509
-
-And a quick video walkthrough of the code: https://www.loom.com/share/13df1967161f4d24ade054e7f8753416
-
-โน๏ธ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a chatbot session.
-
-## Build and test the Docker image
-
-```
-docker build -t chatbot .
-docker run --env-file .env -p 7860:7860 chatbot
-```
diff --git a/examples/chatbot-audio-recording/bot.py b/examples/chatbot-audio-recording/bot.py
deleted file mode 100644
index a6c61cba8..000000000
--- a/examples/chatbot-audio-recording/bot.py
+++ /dev/null
@@ -1,170 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import datetime
-import io
-import os
-import sys
-import wave
-
-import aiofiles
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from runner import configure
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-# Create the recordings directory if it doesn't exist
-os.makedirs("recordings", exist_ok=True)
-
-
-async def save_audio(audio: bytes, sample_rate: int, num_channels: int, name: str):
- if len(audio) > 0:
- filename = os.path.join(
- "recordings",
- f"{name}_conversation_recording{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.wav",
- )
- with io.BytesIO() as buffer:
- with wave.open(buffer, "wb") as wf:
- wf.setsampwidth(2)
- wf.setnchannels(num_channels)
- wf.setframerate(sample_rate)
- wf.writeframes(audio)
- async with aiofiles.open(filename, "wb") as file:
- await file.write(buffer.getvalue())
- print(f"Merged audio saved to {filename}")
- else:
- print("No audio data to save")
-
-
-async def main():
- async with aiohttp.ClientSession() as session:
- (room_url, token) = await configure(session)
-
- transport = DailyTransport(
- room_url,
- token,
- "Chatbot",
- DailyParams(
- audio_out_enabled=True,
- audio_in_enabled=True,
- video_out_enabled=False,
- vad_analyzer=SileroVADAnalyzer(),
- transcription_enabled=True,
- #
- # Spanish
- #
- # transcription_settings=DailyTranscriptionSettings(
- # language="es",
- # tier="nova",
- # model="2-general"
- # )
- ),
- )
-
- tts = ElevenLabsTTSService(
- api_key=os.getenv("ELEVENLABS_API_KEY"),
- #
- # English
- #
- voice_id="cgSgspJ2msm6clMCkdW9",
- #
- # Spanish
- #
- # model="eleven_multilingual_v2",
- # voice_id="gD1IexrzCvsXPHUuT0s3",
- )
-
- llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
-
- messages = [
- {
- "role": "system",
- #
- # English
- #
- "content": "You are Chatbot, a friendly, helpful robot. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by introducing yourself. Keep all your response to 12 words or fewer.",
- #
- # Spanish
- #
- # "content": "Eres Chatbot, un amigable y รบtil robot. Tu objetivo es demostrar tus capacidades de una manera breve. Tus respuestas se convertiran a audio asรญ que nunca no debes incluir caracteres especiales. Contesta a lo que el usuario pregunte de una manera creativa, รบtil y breve. Empieza por presentarte a ti mismo.",
- },
- ]
-
- context = OpenAILLMContext(messages)
- context_aggregator = llm.create_context_aggregator(context)
-
- # NOTE: Watch out! This will save all the conversation in memory. You
- # can pass `buffer_size` to get periodic callbacks.
- audiobuffer = AudioBufferProcessor(enable_turn_audio=True)
-
- pipeline = Pipeline(
- [
- transport.input(), # microphone
- context_aggregator.user(),
- llm,
- tts,
- transport.output(),
- audiobuffer, # used to buffer the audio in the pipeline
- context_aggregator.assistant(),
- ]
- )
-
- task = PipelineTask(
- pipeline,
- params=PipelineParams(
- audio_in_sample_rate=16000,
- audio_out_sample_rate=16000,
- enable_metrics=True,
- enable_usage_metrics=True,
- ),
- )
-
- @audiobuffer.event_handler("on_audio_data")
- async def on_audio_data(buffer, audio, sample_rate, num_channels):
- await save_audio(audio, sample_rate, num_channels, "full")
-
- @audiobuffer.event_handler("on_user_turn_audio_data")
- async def on_user_turn_audio_data(buffer, audio, sample_rate, num_channels):
- await save_audio(audio, sample_rate, num_channels, "user")
-
- @audiobuffer.event_handler("on_bot_turn_audio_data")
- async def on_bot_turn_audio_data(buffer, audio, sample_rate, num_channels):
- await save_audio(audio, sample_rate, num_channels, "bot")
-
- @transport.event_handler("on_first_participant_joined")
- async def on_first_participant_joined(transport, participant):
- await audiobuffer.start_recording()
- await transport.capture_participant_transcription(participant["id"])
- await task.queue_frames([context_aggregator.user().get_context_frame()])
-
- @transport.event_handler("on_participant_left")
- async def on_participant_left(transport, participant, reason):
- print(f"Participant left: {participant}")
- await task.cancel()
-
- runner = PipelineRunner()
-
- await runner.run(task)
-
-
-if __name__ == "__main__":
- asyncio.run(main())
diff --git a/examples/chatbot-audio-recording/env.example b/examples/chatbot-audio-recording/env.example
deleted file mode 100644
index d368ae510..000000000
--- a/examples/chatbot-audio-recording/env.example
+++ /dev/null
@@ -1,4 +0,0 @@
-DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
-DAILY_API_KEY=7df...
-OPENAI_API_KEY=sk-PL...
-ELEVENLABS_API_KEY=aeb...
\ No newline at end of file
diff --git a/examples/chatbot-audio-recording/requirements.txt b/examples/chatbot-audio-recording/requirements.txt
deleted file mode 100644
index 4cafe3680..000000000
--- a/examples/chatbot-audio-recording/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-aiofiles
-python-dotenv
-fastapi[all]
-uvicorn
-pipecat-ai[daily,openai,silero,elevenlabs]
diff --git a/examples/chatbot-audio-recording/runner.py b/examples/chatbot-audio-recording/runner.py
deleted file mode 100644
index ad39a3ac4..000000000
--- a/examples/chatbot-audio-recording/runner.py
+++ /dev/null
@@ -1,55 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-
-import aiohttp
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
-
-
-async def configure(aiohttp_session: aiohttp.ClientSession):
- parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
- parser.add_argument(
- "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
- )
- parser.add_argument(
- "-k",
- "--apikey",
- type=str,
- required=False,
- help="Daily API Key (needed to create an owner token for the room)",
- )
-
- args, unknown = parser.parse_known_args()
-
- url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
- key = args.apikey or os.getenv("DAILY_API_KEY")
-
- if not url:
- raise Exception(
- "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
- )
-
- if not key:
- raise Exception(
- "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
- )
-
- daily_rest_helper = DailyRESTHelper(
- daily_api_key=key,
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
-
- # Create a meeting token for the given room with an expiration 1 hour in
- # the future.
- expiry_time: float = 60 * 60
-
- token = await daily_rest_helper.get_token(url, expiry_time)
-
- return (url, token)
diff --git a/examples/chatbot-audio-recording/server.py b/examples/chatbot-audio-recording/server.py
deleted file mode 100644
index a0f38854c..000000000
--- a/examples/chatbot-audio-recording/server.py
+++ /dev/null
@@ -1,139 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-
-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse, RedirectResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-MAX_BOTS_PER_ROOM = 1
-
-# Bot sub-process dict for status reporting and concurrency control
-bot_procs = {}
-
-daily_helpers = {}
-
-load_dotenv(override=True)
-
-
-def cleanup():
- # Clean up function, just to be extra safe
- for entry in bot_procs.values():
- proc = entry[0]
- proc.terminate()
- proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
- aiohttp_session = aiohttp.ClientSession()
- daily_helpers["rest"] = DailyRESTHelper(
- daily_api_key=os.getenv("DAILY_API_KEY", ""),
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
- yield
- await aiohttp_session.close()
- cleanup()
-
-
-app = FastAPI(lifespan=lifespan)
-
-app.add_middleware(
- CORSMiddleware,
- allow_origins=["*"],
- allow_credentials=True,
- allow_methods=["*"],
- allow_headers=["*"],
-)
-
-
-@app.get("/")
-async def start_agent(request: Request):
- print(f"!!! Creating room")
- room = await daily_helpers["rest"].create_room(DailyRoomParams())
- print(f"!!! Room URL: {room.url}")
- # Ensure the room property is present
- if not room.url:
- raise HTTPException(
- status_code=500,
- detail="Missing 'room' property in request data. Cannot start agent without a target room!",
- )
-
- # Check if there is already an existing process running in this room
- num_bots_in_room = sum(
- 1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
- )
- if num_bots_in_room >= MAX_BOTS_PER_ROOM:
- raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
-
- # Get the token for the room
- token = await daily_helpers["rest"].get_token(room.url)
-
- if not token:
- raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
- # Spawn a new agent, and join the user session
- # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
- try:
- proc = subprocess.Popen(
- [f"python3 -m bot -u {room.url} -t {token}"],
- shell=True,
- bufsize=1,
- cwd=os.path.dirname(os.path.abspath(__file__)),
- )
- bot_procs[proc.pid] = (proc, room.url)
- except Exception as e:
- raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
- return RedirectResponse(room.url)
-
-
-@app.get("/status/{pid}")
-def get_status(pid: int):
- # Look up the subprocess
- proc = bot_procs.get(pid)
-
- # If the subprocess doesn't exist, return an error
- if not proc:
- raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
-
- # Check the status of the subprocess
- if proc[0].poll() is None:
- status = "running"
- else:
- status = "finished"
-
- return JSONResponse({"bot_id": pid, "status": status})
-
-
-if __name__ == "__main__":
- import uvicorn
-
- default_host = os.getenv("HOST", "0.0.0.0")
- default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
- parser = argparse.ArgumentParser(description="Daily Storyteller FastAPI server")
- parser.add_argument("--host", type=str, default=default_host, help="Host address")
- parser.add_argument("--port", type=int, default=default_port, help="Port number")
- parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
- config = parser.parse_args()
-
- uvicorn.run(
- "server:app",
- host=config.host,
- port=config.port,
- reload=config.reload,
- )
diff --git a/examples/daily-custom-tracks/README.md b/examples/daily-custom-tracks/README.md
deleted file mode 100644
index dfd870373..000000000
--- a/examples/daily-custom-tracks/README.md
+++ /dev/null
@@ -1,39 +0,0 @@
-# Daily Custom Tracks
-
-This example shows how to send and receive Daily custom tracks. We will run a simple `daily-python` application to send an audio file with a custom track (named "pipecat") to a room. Then, the Pipecat bot will mirror that custom track into another custom track (named "pipecat-mirror") in the same room.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-```
-
-## Run the bot
-
-Start the bot by giving it a Daily room URL.
-
-```bash
-python bot.py -u ROOM_URL
-```
-
-The bot will wait for the first participant to join. Then, it will mirror a custom track named "pipecat" into a new custom track named "pipecat-mirror".
-
-## Run the sender
-
-Now, run the custom track sender. This is a simple `daily-python` application that opens and audio file and sends it as a custom track to the same Daily room.
-
-```bash
-python custom_track_sender.py -u ROOM_URL -i office-ambience-mono-16000.mp3
-```
-
-## Open client
-
-Finally, open the client so you can hear both custom tracks.
-
-```bash
-open index.html
-```
-
-Once the client is opened, copy the URL of the Daily room and join it. You should be able to select which custom track you want to hear.
diff --git a/examples/daily-custom-tracks/bot.py b/examples/daily-custom-tracks/bot.py
deleted file mode 100644
index 1b0b3b64d..000000000
--- a/examples/daily-custom-tracks/bot.py
+++ /dev/null
@@ -1,89 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import sys
-
-import aiohttp
-from loguru import logger
-from runner import configure
-
-from pipecat.frames.frames import Frame, InputAudioRawFrame, OutputAudioRawFrame
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-
-class CustomTrackMirrorProcessor(FrameProcessor):
- def __init__(self, transport_destination: str, **kwargs):
- super().__init__(**kwargs)
- self._transport_destination = transport_destination
-
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- await super().process_frame(frame, direction)
-
- if isinstance(frame, InputAudioRawFrame) and frame.transport_source:
- output_frame = OutputAudioRawFrame(
- audio=frame.audio,
- sample_rate=frame.sample_rate,
- num_channels=frame.num_channels,
- )
- output_frame.transport_destination = self._transport_destination
- await self.push_frame(output_frame)
- else:
- await self.push_frame(frame, direction)
-
-
-async def main():
- async with aiohttp.ClientSession() as session:
- (room_url, _) = await configure(session)
-
- transport = DailyTransport(
- room_url,
- None,
- "Custom tracks mirror",
- DailyParams(
- audio_in_enabled=True,
- audio_out_enabled=True,
- microphone_out_enabled=False, # Disable since we just use custom tracks
- audio_out_destinations=["pipecat-mirror"],
- ),
- )
-
- pipeline = Pipeline(
- [
- transport.input(), # Transport user input
- CustomTrackMirrorProcessor("pipecat-mirror"),
- transport.output(), # Transport bot output
- ]
- )
-
- task = PipelineTask(
- pipeline,
- params=PipelineParams(
- audio_in_sample_rate=16000,
- audio_out_sample_rate=16000,
- enable_metrics=True,
- enable_usage_metrics=True,
- ),
- )
-
- @transport.event_handler("on_first_participant_joined")
- async def on_first_participant_joined(transport, participant):
- await transport.capture_participant_audio(participant["id"], audio_source="pipecat")
-
- runner = PipelineRunner()
-
- await runner.run(task)
-
-
-if __name__ == "__main__":
- asyncio.run(main())
diff --git a/examples/daily-custom-tracks/custom_track_sender.py b/examples/daily-custom-tracks/custom_track_sender.py
deleted file mode 100644
index 80c3cfbe6..000000000
--- a/examples/daily-custom-tracks/custom_track_sender.py
+++ /dev/null
@@ -1,74 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import time
-
-from daily import CallClient, CustomAudioSource, Daily
-from pydub import AudioSegment
-
-parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
-parser.add_argument("-u", "--url", type=str, required=True, help="URL of the Daily room to join")
-parser.add_argument(
- "-i", "--input", type=str, required=True, help="Input audio file (needs 16000 sample rate)"
-)
-
-args, _ = parser.parse_known_args()
-
-audio = AudioSegment.from_mp3(args.input)
-
-raw_bytes = audio.raw_data
-sample_rate = audio.frame_rate
-channels = audio.channels
-
-print(f"Length: {len(raw_bytes)} bytes")
-print(f"Sample rate: {sample_rate}, Channels: {channels}")
-
-# Initialize the Daily context & create call client
-Daily.init()
-
-client = CallClient()
-
-# Join the room and indicate we have a custom track named "pipecat".
-client.join(
- args.url,
- client_settings={
- "publishing": {
- "camera": False,
- "microphone": False,
- "customAudio": {"pipecat": True},
- },
- },
-)
-
-# Just sleep for a couple of seconds. To do this well we should really use
-# completions.
-time.sleep(2)
-
-# Create the custom audio source. This is where we will write our audio.
-audio_source = CustomAudioSource(sample_rate, channels)
-
-# Create an audio track and assign it our audio source.
-client.add_custom_audio_track("pipecat", audio_source)
-
-# Just sleep for a second. To do this well we should really use completions.
-time.sleep(1)
-
-try:
- # Just write one second of audio until we have read all the file.
- chunk_size = sample_rate * channels * 2
- while len(raw_bytes) > 0:
- chunk = raw_bytes[:chunk_size]
- raw_bytes = raw_bytes[chunk_size:]
- audio_source.write_frames(chunk)
-
-except KeyboardInterrupt:
- client.leave()
-
-# Just sleep for a second. To do this well we should really use completions.
-time.sleep(1)
-
-client.release()
diff --git a/examples/daily-custom-tracks/index.html b/examples/daily-custom-tracks/index.html
deleted file mode 100644
index 4b3f693f6..000000000
--- a/examples/daily-custom-tracks/index.html
+++ /dev/null
@@ -1,173 +0,0 @@
-
-
-
-
-
-This app connects you to a chatbot powered by GPT-4, complete with animations generated by Stable Video Diffusion. The chatbot also has vision powers thanks to [Moondream](https://moondream.ai) so you can ask it, for example, "what do you see?".
-
-โน๏ธ The first time, things might take some time to get started since VAD (Voice Activity Detection) and vision models need to be downloaded.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a chatbot
-session.
-
-## Build and test the Docker image
-
-```
-docker build -t moonbot .
-docker run --env-file .env -p 7860:7860 moonbot
-```
-
-### For Intel GPUs (Arc, Max and Flex series)
-
-```
-docker build -t moonbot -f Dockerfile.intel .
-docker run --env-file .env -p 7860:7860 --device /dev/dri moonbot
-```
-
-You can try to visit `http://localhost:7860/` again.
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diff --git a/examples/moondream-chatbot/bot.py b/examples/moondream-chatbot/bot.py
deleted file mode 100644
index dcda37ca5..000000000
--- a/examples/moondream-chatbot/bot.py
+++ /dev/null
@@ -1,213 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import os
-import sys
-
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from PIL import Image
-from runner import configure
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import (
- BotStartedSpeakingFrame,
- BotStoppedSpeakingFrame,
- Frame,
- ImageRawFrame,
- OutputImageRawFrame,
- SpriteFrame,
- TextFrame,
- UserImageRequestFrame,
-)
-from pipecat.pipeline.parallel_pipeline import ParallelPipeline
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.processors.aggregators.sentence import SentenceAggregator
-from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
-from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.moondream.vision import MoondreamService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-user_request_answer = "Let me take a look."
-
-sprites = []
-
-script_dir = os.path.dirname(__file__)
-
-for i in range(1, 26):
- # Build the full path to the image file
- full_path = os.path.join(script_dir, f"assets/robot0{i}.png")
- # Get the filename without the extension to use as the dictionary key
- # Open the image and convert it to bytes
- with Image.open(full_path) as img:
- sprites.append(OutputImageRawFrame(image=img.tobytes(), size=img.size, format=img.format))
-
-flipped = sprites[::-1]
-sprites.extend(flipped)
-
-# When the bot isn't talking, show a static image of the cat listening
-quiet_frame = sprites[0]
-talking_frame = SpriteFrame(images=sprites)
-
-
-class TalkingAnimation(FrameProcessor):
- """This class starts a talking animation when it receives an first BotStartedSpeakingFrame,
- and then returns to a "quiet" sprite when it sees a BotStoppedSpeakingFrame.
- """
-
- def __init__(self):
- super().__init__()
- self._is_talking = False
-
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- await super().process_frame(frame, direction)
-
- if isinstance(frame, BotStartedSpeakingFrame):
- if not self._is_talking:
- await self.push_frame(talking_frame)
- self._is_talking = True
- elif isinstance(frame, BotStoppedSpeakingFrame):
- await self.push_frame(quiet_frame)
- self._is_talking = False
-
- await self.push_frame(frame, direction)
-
-
-class UserImageRequester(FrameProcessor):
- def __init__(self):
- super().__init__()
- self.participant_id = None
-
- def set_participant_id(self, participant_id: str):
- self.participant_id = participant_id
-
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- await super().process_frame(frame, direction)
-
- if self.participant_id and isinstance(frame, TextFrame):
- if frame.text == user_request_answer:
- await self.push_frame(
- UserImageRequestFrame(self.participant_id), FrameDirection.UPSTREAM
- )
- await self.push_frame(TextFrame("Describe the image in a short sentence."))
- else:
- await self.push_frame(frame, direction)
-
-
-class TextFilterProcessor(FrameProcessor):
- def __init__(self, text: str):
- super().__init__()
- self.text = text
-
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- await super().process_frame(frame, direction)
-
- if isinstance(frame, TextFrame):
- if frame.text != self.text:
- await self.push_frame(frame)
- else:
- await self.push_frame(frame, direction)
-
-
-class ImageFilterProcessor(FrameProcessor):
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- await super().process_frame(frame, direction)
-
- if not isinstance(frame, ImageRawFrame):
- await self.push_frame(frame, direction)
-
-
-async def main():
- async with aiohttp.ClientSession() as session:
- (room_url, token) = await configure(session)
-
- transport = DailyTransport(
- room_url,
- token,
- "Chatbot",
- DailyParams(
- audio_in_enabled=True,
- audio_out_enabled=True,
- video_in_enabled=True,
- video_out_enabled=True,
- video_out_width=1024,
- video_out_height=576,
- transcription_enabled=True,
- vad_analyzer=SileroVADAnalyzer(),
- ),
- )
-
- tts = CartesiaTTSService(
- api_key=os.getenv("CARTESIA_API_KEY"),
- voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
- )
-
- llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
-
- ta = TalkingAnimation()
-
- sa = SentenceAggregator()
- ir = UserImageRequester()
- va = VisionImageFrameAggregator()
-
- # If you run into weird description, try with use_cpu=True
- moondream = MoondreamService()
-
- tf = TextFilterProcessor(user_request_answer)
- imgf = ImageFilterProcessor()
-
- messages = [
- {
- "role": "system",
- "content": f"You are Chatbot, a friendly, helpful robot. Let the user know that you are capable of chatting or describing what you see. Your goal is to demonstrate your capabilities in a succinct way. Reply with only '{user_request_answer}' if the user asks you to describe what you see. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by introducing yourself.",
- },
- ]
-
- context = OpenAILLMContext(messages)
- context_aggregator = llm.create_context_aggregator(context)
-
- pipeline = Pipeline(
- [
- transport.input(),
- context_aggregator.user(),
- llm,
- ParallelPipeline([sa, ir, va, moondream], [tf, imgf]),
- tts,
- ta,
- transport.output(),
- context_aggregator.assistant(),
- ]
- )
-
- task = PipelineTask(pipeline)
- await task.queue_frame(quiet_frame)
-
- @transport.event_handler("on_first_participant_joined")
- async def on_first_participant_joined(transport, participant):
- await transport.capture_participant_transcription(participant["id"])
- await transport.capture_participant_video(participant["id"], framerate=0)
- ir.set_participant_id(participant["id"])
- await task.queue_frames([context_aggregator.user().get_context_frame()])
-
- runner = PipelineRunner()
-
- await runner.run(task)
-
-
-if __name__ == "__main__":
- asyncio.run(main())
diff --git a/examples/moondream-chatbot/env.example b/examples/moondream-chatbot/env.example
deleted file mode 100644
index 571ebb8b4..000000000
--- a/examples/moondream-chatbot/env.example
+++ /dev/null
@@ -1,4 +0,0 @@
-DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
-DAILY_API_KEY=7df...
-OPENAI_API_KEY=sk-PL...
-CARTESIA_API_KEY=your_cartesia_api_key_here
diff --git a/examples/moondream-chatbot/image.png b/examples/moondream-chatbot/image.png
deleted file mode 100644
index 17ba5401f..000000000
Binary files a/examples/moondream-chatbot/image.png and /dev/null differ
diff --git a/examples/moondream-chatbot/requirements.txt b/examples/moondream-chatbot/requirements.txt
deleted file mode 100644
index 08fd27cb7..000000000
--- a/examples/moondream-chatbot/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-python-dotenv
-fastapi[all]
-uvicorn
-pipecat-ai[daily,cartesia,moondream,openai,silero]
diff --git a/examples/moondream-chatbot/runner.py b/examples/moondream-chatbot/runner.py
deleted file mode 100644
index ad39a3ac4..000000000
--- a/examples/moondream-chatbot/runner.py
+++ /dev/null
@@ -1,55 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-
-import aiohttp
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
-
-
-async def configure(aiohttp_session: aiohttp.ClientSession):
- parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
- parser.add_argument(
- "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
- )
- parser.add_argument(
- "-k",
- "--apikey",
- type=str,
- required=False,
- help="Daily API Key (needed to create an owner token for the room)",
- )
-
- args, unknown = parser.parse_known_args()
-
- url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
- key = args.apikey or os.getenv("DAILY_API_KEY")
-
- if not url:
- raise Exception(
- "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
- )
-
- if not key:
- raise Exception(
- "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
- )
-
- daily_rest_helper = DailyRESTHelper(
- daily_api_key=key,
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
-
- # Create a meeting token for the given room with an expiration 1 hour in
- # the future.
- expiry_time: float = 60 * 60
-
- token = await daily_rest_helper.get_token(url, expiry_time)
-
- return (url, token)
diff --git a/examples/moondream-chatbot/server.py b/examples/moondream-chatbot/server.py
deleted file mode 100644
index 9597bdc9a..000000000
--- a/examples/moondream-chatbot/server.py
+++ /dev/null
@@ -1,140 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-
-import aiohttp
-from dotenv import load_dotenv
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse, RedirectResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-# Load environment variables from .env file
-load_dotenv(override=True)
-
-MAX_BOTS_PER_ROOM = 1
-
-# Bot sub-process dict for status reporting and concurrency control
-bot_procs = {}
-
-daily_helpers = {}
-
-
-def cleanup():
- # Clean up function, just to be extra safe
- for entry in bot_procs.values():
- proc = entry[0]
- proc.terminate()
- proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
- aiohttp_session = aiohttp.ClientSession()
- daily_helpers["rest"] = DailyRESTHelper(
- daily_api_key=os.getenv("DAILY_API_KEY", ""),
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
- yield
- await aiohttp_session.close()
- cleanup()
-
-
-app = FastAPI(lifespan=lifespan)
-
-app.add_middleware(
- CORSMiddleware,
- allow_origins=["*"],
- allow_credentials=True,
- allow_methods=["*"],
- allow_headers=["*"],
-)
-
-
-@app.get("/")
-async def start_agent(request: Request):
- print(f"!!! Creating room")
- room = await daily_helpers["rest"].create_room(DailyRoomParams())
- print(f"!!! Room URL: {room.url}")
- # Ensure the room property is present
- if not room.url:
- raise HTTPException(
- status_code=500,
- detail="Missing 'room' property in request data. Cannot start agent without a target room!",
- )
-
- # Check if there is already an existing process running in this room
- num_bots_in_room = sum(
- 1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
- )
- if num_bots_in_room >= MAX_BOTS_PER_ROOM:
- raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
-
- # Get the token for the room
- token = await daily_helpers["rest"].get_token(room.url)
-
- if not token:
- raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
- # Spawn a new agent, and join the user session
- # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
- try:
- proc = subprocess.Popen(
- [f"python3 -m bot -u {room.url} -t {token}"],
- shell=True,
- bufsize=1,
- cwd=os.path.dirname(os.path.abspath(__file__)),
- )
- bot_procs[proc.pid] = (proc, room.url)
- except Exception as e:
- raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
- return RedirectResponse(room.url)
-
-
-@app.get("/status/{pid}")
-def get_status(pid: int):
- # Look up the subprocess
- proc = bot_procs.get(pid)
-
- # If the subprocess doesn't exist, return an error
- if not proc:
- raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
-
- # Check the status of the subprocess
- if proc[0].poll() is None:
- status = "running"
- else:
- status = "finished"
-
- return JSONResponse({"bot_id": pid, "status": status})
-
-
-if __name__ == "__main__":
- import uvicorn
-
- default_host = os.getenv("HOST", "0.0.0.0")
- default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
- parser = argparse.ArgumentParser(description="Daily Moondream FastAPI server")
- parser.add_argument("--host", type=str, default=default_host, help="Host address")
- parser.add_argument("--port", type=int, default=default_port, help="Port number")
- parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
- config = parser.parse_args()
-
- uvicorn.run(
- "server:app",
- host=config.host,
- port=config.port,
- reload=config.reload,
- )
diff --git a/examples/news-chatbot/.gitignore b/examples/news-chatbot/.gitignore
deleted file mode 100644
index 0d298d282..000000000
--- a/examples/news-chatbot/.gitignore
+++ /dev/null
@@ -1,51 +0,0 @@
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-build/
-dist/
-*.egg-info/
-.installed.cfg
-*.egg
-.pytest_cache/
-.coverage
-.coverage.*
-.env
-.venv
-env/
-venv/
-ENV/
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# JavaScript/Node.js
-node_modules/
-dist/
-dist-ssr/
-*.local
-.env.local
-.env.development.local
-.env.test.local
-.env.production.local
-
-# Logs
-logs/
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-
-# Editor/IDE
-.vscode/*
-!.vscode/extensions.json
-.idea/
-*.swp
-*.swo
-.DS_Store
-
-# Project specific
-runpod.toml
\ No newline at end of file
diff --git a/examples/news-chatbot/README.md b/examples/news-chatbot/README.md
deleted file mode 100644
index da27a6282..000000000
--- a/examples/news-chatbot/README.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# News Chatbot
-
-A simple AI-powered chatbot that leverages Gemini's real-time search capabilities in a voice AI application.
-
-This example demonstrates Gemini's ability to query Google search in real time and return relevant responses, including links to the URLs that Gemini searched.
-
-All the details about grounding with Google Search can be found [here](https://ai.google.dev/gemini-api/docs/grounding?lang=python).
-
-## Quick Start
-
-### First, start the bot server:
-
-1. Navigate to the server directory:
- ```bash
- cd server
- ```
-2. Create and activate a virtual environment:
- ```bash
- python3 -m venv venv
- source venv/bin/activate # On Windows: venv\Scripts\activate
- ```
-3. Install requirements:
- ```bash
- pip install -r requirements.txt
- ```
-4. Copy env.example to .env and configure:
- - Add your API keys
-5. Start the server:
- ```bash
- python server.py
- ```
-
-### Next, connect using the client app:
-
-For client-side setup, refer to the [JavaScript Guide](client/javascript/README.md).
-
-## Important Note
-
-Ensure the bot server is running before using any client implementations.
-
-## Requirements
-
-- Python 3.10+
-- Node.js 16+ (for JavaScript and React implementations)
-- Daily API key
-- Gemini API key (for Gemini bot)
-- Cartesia API key
-- Modern web browser with WebRTC support
\ No newline at end of file
diff --git a/examples/news-chatbot/client/javascript/README.md b/examples/news-chatbot/client/javascript/README.md
deleted file mode 100644
index 3b0c7f96e..000000000
--- a/examples/news-chatbot/client/javascript/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# JavaScript Implementation
-
-Basic implementation using the [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction).
-
-## Setup
-
-1. Run the bot server. See the [server README](../../README).
-
-2. Navigate to the `client/javascript` directory:
-
-```bash
-cd client/javascript
-```
-
-3. Install dependencies:
-
-```bash
-npm install
-```
-
-4. Run the client app:
-
-```
-npm run dev
-```
-
-5. Visit http://localhost:5173 in your browser.
diff --git a/examples/news-chatbot/client/javascript/index.html b/examples/news-chatbot/client/javascript/index.html
deleted file mode 100644
index 5400c2729..000000000
--- a/examples/news-chatbot/client/javascript/index.html
+++ /dev/null
@@ -1,40 +0,0 @@
-
-
-
-
-
-
- Disconnected
- - - - - - diff --git a/examples/p2p-webrtc/voice-agent/requirements.txt b/examples/p2p-webrtc/voice-agent/requirements.txt deleted file mode 100644 index b16fb9ddc..000000000 --- a/examples/p2p-webrtc/voice-agent/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -python-dotenv -fastapi[all] -uvicorn -pipecat-ai[google,silero, webrtc] \ No newline at end of file diff --git a/examples/p2p-webrtc/voice-agent/server.py b/examples/p2p-webrtc/voice-agent/server.py deleted file mode 100644 index f442333bf..000000000 --- a/examples/p2p-webrtc/voice-agent/server.py +++ /dev/null @@ -1,94 +0,0 @@ -# -# Copyright (c) 2024โ2025, Daily -# -# SPDX-License-Identifier: BSD 2-Clause License -# - -import argparse -import asyncio -import sys -from contextlib import asynccontextmanager -from typing import Dict - -import uvicorn -from bot import run_bot -from dotenv import load_dotenv -from fastapi import BackgroundTasks, FastAPI -from fastapi.responses import FileResponse -from loguru import logger - -from pipecat.transports.network.webrtc_connection import IceServer, SmallWebRTCConnection - -# Load environment variables -load_dotenv(override=True) - -app = FastAPI() - -# Store connections by pc_id -pcs_map: Dict[str, SmallWebRTCConnection] = {} - - -ice_servers = [ - IceServer( - urls="stun:stun.l.google.com:19302", - ) -] - - -@app.post("/api/offer") -async def offer(request: dict, background_tasks: BackgroundTasks): - pc_id = request.get("pc_id") - - if pc_id and pc_id in pcs_map: - pipecat_connection = pcs_map[pc_id] - logger.info(f"Reusing existing connection for pc_id: {pc_id}") - await pipecat_connection.renegotiate(sdp=request["sdp"], type=request["type"]) - else: - pipecat_connection = SmallWebRTCConnection(ice_servers) - await pipecat_connection.initialize(sdp=request["sdp"], type=request["type"]) - - @pipecat_connection.event_handler("closed") - async def handle_disconnected(webrtc_connection: SmallWebRTCConnection): - logger.info(f"Discarding peer connection for pc_id: {webrtc_connection.pc_id}") - pcs_map.pop(webrtc_connection.pc_id, None) - - background_tasks.add_task(run_bot, pipecat_connection) - - answer = pipecat_connection.get_answer() - # Updating the peer connection inside the map - pcs_map[answer["pc_id"]] = pipecat_connection - - return answer - - -@app.get("/") -async def serve_index(): - return FileResponse("index.html") - - -@asynccontextmanager -async def lifespan(app: FastAPI): - yield # Run app - coros = [pc.disconnect() for pc in pcs_map.values()] - await asyncio.gather(*coros) - pcs_map.clear() - - -if __name__ == "__main__": - parser = argparse.ArgumentParser(description="WebRTC demo") - parser.add_argument( - "--host", default="localhost", help="Host for HTTP server (default: localhost)" - ) - parser.add_argument( - "--port", type=int, default=7860, help="Port for HTTP server (default: 7860)" - ) - parser.add_argument("--verbose", "-v", action="count") - args = parser.parse_args() - - logger.remove(0) - if args.verbose: - logger.add(sys.stderr, level="TRACE") - else: - logger.add(sys.stderr, level="DEBUG") - - uvicorn.run(app, host=args.host, port=args.port) diff --git a/examples/patient-intake/Dockerfile b/examples/patient-intake/Dockerfile deleted file mode 100644 index 704080eec..000000000 --- a/examples/patient-intake/Dockerfile +++ /dev/null @@ -1,16 +0,0 @@ -FROM python:3.10-bullseye - -RUN mkdir /app -RUN mkdir /app/assets -RUN mkdir /app/utils -COPY *.py /app/ -COPY requirements.txt /app/ -copy assets/* /app/assets/ -copy utils/* /app/utils/ - -WORKDIR /app -RUN pip3 install -r requirements.txt - -EXPOSE 7860 - -CMD ["python3", "server.py"] \ No newline at end of file diff --git a/examples/patient-intake/README.md b/examples/patient-intake/README.md deleted file mode 100644 index ffc84bdfe..000000000 --- a/examples/patient-intake/README.md +++ /dev/null @@ -1,95 +0,0 @@ -# Patient-intake chatbot - -
-
-This project implements an AI-powered chatbot designed to streamline the medical intake process for Tri-County Health Services. The chatbot, named Jessica, interacts with patients to collect essential information before their doctor's visit, enhancing efficiency and improving the patient experience.
-
-๐ก Looking to build structured conversations? Check out [Pipecat Flows](https://github.com/pipecat-ai/pipecat-flows) for managing complex conversational states and transitions.
-
-## Features
-
-Identity Verification: Confirms patient identity by verifying their date of birth.
-Prescription Information: Collects details about current medications and dosages.
-Allergy Documentation: Records patient allergies.
-Medical Conditions: Gathers information about existing medical conditions.
-Reason for Visit: Asks patients about the purpose of their current doctor's visit.
-
-## Technical Stack
-
-Language: Python
-AI Model: OpenAI's GPT-4
-Text-to-Speech: Cartesia TTS Service
-Audio Processing: Silero VAD (Voice Activity Detection)
-Real-time Communication: Daily.co API
-
-## Key Components
-
-IntakeProcessor: Manages the conversation flow and information gathering process.
-DailyTransport: Handles real-time audio communication.
-CartesiaTTSService: Converts text responses to speech.
-OpenAILLMService: Processes natural language and generates appropriate responses.
-Pipeline: Orchestrates the flow of information between different components.
-
-How It Works
-
-The chatbot introduces itself and verifies the patient's identity.
-It systematically collects information about prescriptions, allergies, medical conditions, and the reason for the visit.
-The conversation is guided by a series of function calls that transition between different stages of the intake process.
-All collected information is logged for later use by medical professionals.
-
-โน๏ธ The first time, things might take extra time to get started since VAD (Voice Activity Detection) model needs to be downloaded.
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a chatbot session.
-
-## Build and test the Docker image
-
-```
-docker build -t chatbot .
-docker run --env-file .env -p 7860:7860 chatbot
-```
-## Cartesia best practices
-
-Since this example is using Cartesia, checkout the best practices given in Cartesia's docs. LLM prompts should be modified accordingly.
-
-
-
-This repository demonstrates a simple AI chatbot with real-time audio/video interaction, implemented using different client and server options. The bot server supports multiple AI backends, and you can connect to it using five different client approaches.
-
-## Two Bot Options
-
-1. **OpenAI Bot** (Default)
-
- - Uses gpt-4o for conversation
- - Requires OpenAI API key
-
-2. **Gemini Bot**
- - Uses Google's Gemini Multimodal Live model
- - Requires Gemini API key
-
-## Five Client Options
-
-1. **Daily Prebuilt** (Simplest)
-
- - Direct connection through a Daily Prebuilt room
- - For demo purposes only; handy for quick testing
-
-2. **JavaScript**
-
- - Basic implementation using [Pipecat JavaScript SDK](https://docs.pipecat.ai/client/js/introduction)
- - No framework dependencies
- - Good for learning the fundamentals
-
-3. **React**
-
- - Basic impelmentation using [Pipecat React SDK](https://docs.pipecat.ai/client/react/introduction)
- - Demonstrates the basic client principles with Pipecat React
-
-4. **Android**
-
- - Basic implementation using [Pipecat Android SDK](https://docs.pipecat.ai/client/android/introduction)
- - Demonstrates the basic client principles with Pipecat Android
-
-5. **iOS**
- - Basic implementation using [Pipecat iOS SDK](https://docs.pipecat.ai/client/ios/introduction)
- - Demonstrates the basic client principles with Pipecat iOS
-
-## Quick Start
-
-### First, start the bot server:
-
-1. Navigate to the server directory:
- ```bash
- cd server
- ```
-2. Create and activate a virtual environment:
- ```bash
- python3 -m venv venv
- source venv/bin/activate # On Windows: venv\Scripts\activate
- ```
-3. Install requirements:
- ```bash
- pip install -r requirements.txt
- ```
-4. Copy env.example to .env and configure:
- - Add your API keys
- - Choose your bot implementation:
- ```ini
- BOT_IMPLEMENTATION= # Options: 'openai' (default) or 'gemini'
- ```
-5. Start the server:
- ```bash
- python server.py
- ```
-
-### Next, connect using your preferred client app:
-
-- [Android Guide](client/android/README.md)
-- [iOS Guide](client/ios/README.md)
-- [Daily Prebuilt](client/prebuilt/README.md)
-- [JavaScript Guide](client/javascript/README.md)
-- [React Guide](client/react/README.md)
-
-## Important Note
-
-The bot server must be running for any of the client implementations to work. Start the server first before trying any of the client apps.
-
-## Requirements
-
-- Python 3.10+
-- Node.js 16+ (for JavaScript and React implementations)
-- Daily API key
-- OpenAI API key (for OpenAI bot)
-- Gemini API key (for Gemini bot)
-- ElevenLabs API key
-- Modern web browser with WebRTC support
-
-## Project Structure
-
-```
-simple-chatbot/
-โโโ server/ # Bot server implementation
-โ โโโ bot-openai.py # OpenAI bot implementation
-โ โโโ bot-gemini.py # Gemini bot implementation
-โ โโโ runner.py # Server runner utilities
-โ โโโ server.py # FastAPI server
-โ โโโ requirements.txt
-โโโ client/ # Client implementations
- โโโ android/ # Daily Android connection
- โโโ ios/ # Daily iOS connection
- โโโ javascript/ # Daily JavaScript connection
- โโโ prebuilt/ # Pipecat Prebuilt client
- โโโ react/ # Pipecat React client
-```
diff --git a/examples/simple-chatbot/client/android/.gitignore b/examples/simple-chatbot/client/android/.gitignore
deleted file mode 100644
index 10cfdbfaf..000000000
--- a/examples/simple-chatbot/client/android/.gitignore
+++ /dev/null
@@ -1,10 +0,0 @@
-*.iml
-.gradle
-/local.properties
-/.idea
-.DS_Store
-/build
-/captures
-.externalNativeBuild
-.cxx
-local.properties
diff --git a/examples/simple-chatbot/client/android/LICENSE b/examples/simple-chatbot/client/android/LICENSE
deleted file mode 100644
index 976aa72fe..000000000
--- a/examples/simple-chatbot/client/android/LICENSE
+++ /dev/null
@@ -1,24 +0,0 @@
-BSD 2-Clause License
-
-Copyright (c) 2024โ2025, Daily
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-1. Redistributions of source code must retain the above copyright notice, this
- list of conditions and the following disclaimer.
-
-2. Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/examples/simple-chatbot/client/android/README.md b/examples/simple-chatbot/client/android/README.md
deleted file mode 100644
index 69eba8b64..000000000
--- a/examples/simple-chatbot/client/android/README.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# Pipecat Simple Chatbot Client for Android
-
-Demo app which connects to the `simple-chatbot` backend over RTVI.
-
-## Screenshot
-
-
-
-## How to run
-
-```bash
-./gradlew runDebug
-```
-
-Ensure that the `simple-chatbot` server is running as described in the parent README.
-
-For a full walkthrough, describing how to set up the backend and forward the connection
-to your Android device, please see the following blog post:
-
-https://www.daily.co/blog/build-a-voice-agent-for-android-with-gemini-multimodal-live/
diff --git a/examples/simple-chatbot/client/android/build.gradle.kts b/examples/simple-chatbot/client/android/build.gradle.kts
deleted file mode 100644
index 861303b1f..000000000
--- a/examples/simple-chatbot/client/android/build.gradle.kts
+++ /dev/null
@@ -1,5 +0,0 @@
-plugins {
- alias(libs.plugins.jetbrains.kotlin.android) apply false
- alias(libs.plugins.android.application) apply false
- alias(libs.plugins.compose.compiler) apply false
-}
diff --git a/examples/simple-chatbot/client/android/files/screenshot.jpg b/examples/simple-chatbot/client/android/files/screenshot.jpg
deleted file mode 100644
index c234e5b0b..000000000
Binary files a/examples/simple-chatbot/client/android/files/screenshot.jpg and /dev/null differ
diff --git a/examples/simple-chatbot/client/android/gradle.properties b/examples/simple-chatbot/client/android/gradle.properties
deleted file mode 100644
index 20e2a0152..000000000
--- a/examples/simple-chatbot/client/android/gradle.properties
+++ /dev/null
@@ -1,23 +0,0 @@
-# Project-wide Gradle settings.
-# IDE (e.g. Android Studio) users:
-# Gradle settings configured through the IDE *will override*
-# any settings specified in this file.
-# For more details on how to configure your build environment visit
-# http://www.gradle.org/docs/current/userguide/build_environment.html
-# Specifies the JVM arguments used for the daemon process.
-# The setting is particularly useful for tweaking memory settings.
-org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
-# When configured, Gradle will run in incubating parallel mode.
-# This option should only be used with decoupled projects. For more details, visit
-# https://developer.android.com/r/tools/gradle-multi-project-decoupled-projects
-# org.gradle.parallel=true
-# AndroidX package structure to make it clearer which packages are bundled with the
-# Android operating system, and which are packaged with your app's APK
-# https://developer.android.com/topic/libraries/support-library/androidx-rn
-android.useAndroidX=true
-# Kotlin code style for this project: "official" or "obsolete":
-kotlin.code.style=official
-# Enables namespacing of each library's R class so that its R class includes only the
-# resources declared in the library itself and none from the library's dependencies,
-# thereby reducing the size of the R class for that library
-android.nonTransitiveRClass=true
\ No newline at end of file
diff --git a/examples/simple-chatbot/client/android/gradle/libs.versions.toml b/examples/simple-chatbot/client/android/gradle/libs.versions.toml
deleted file mode 100644
index 5bc7b5db9..000000000
--- a/examples/simple-chatbot/client/android/gradle/libs.versions.toml
+++ /dev/null
@@ -1,34 +0,0 @@
-[versions]
-accompanistPermissions = "0.34.0"
-agp = "8.7.3"
-constraintlayoutCompose = "1.1.0"
-pipecatClientDaily = "0.3.7"
-kotlin = "2.0.20"
-coreKtx = "1.15.0"
-lifecycleRuntimeKtx = "2.8.7"
-activityCompose = "1.9.3"
-composeBom = "2024.12.01"
-kotlinxSerializationJson = "1.7.1"
-kotlinxSerializationPlugin = "2.0.20"
-
-[libraries]
-accompanist-permissions = { module = "com.google.accompanist:accompanist-permissions", version.ref = "accompanistPermissions" }
-androidx-constraintlayout-compose = { module = "androidx.constraintlayout:constraintlayout-compose", version.ref = "constraintlayoutCompose" }
-androidx-core-ktx = { group = "androidx.core", name = "core-ktx", version.ref = "coreKtx" }
-pipecat-client-daily = { module = "ai.pipecat:daily-transport", version.ref = "pipecatClientDaily" }
-androidx-lifecycle-runtime-ktx = { group = "androidx.lifecycle", name = "lifecycle-runtime-ktx", version.ref = "lifecycleRuntimeKtx" }
-androidx-activity-compose = { group = "androidx.activity", name = "activity-compose", version.ref = "activityCompose" }
-androidx-compose-bom = { group = "androidx.compose", name = "compose-bom", version.ref = "composeBom" }
-androidx-ui = { group = "androidx.compose.ui", name = "ui" }
-androidx-ui-graphics = { group = "androidx.compose.ui", name = "ui-graphics" }
-androidx-ui-tooling = { group = "androidx.compose.ui", name = "ui-tooling" }
-androidx-ui-tooling-preview = { group = "androidx.compose.ui", name = "ui-tooling-preview" }
-androidx-ui-test-manifest = { group = "androidx.compose.ui", name = "ui-test-manifest" }
-androidx-material3 = { group = "androidx.compose.material3", name = "material3" }
-kotlinx-serialization-json = { module = "org.jetbrains.kotlinx:kotlinx-serialization-json", version.ref = "kotlinxSerializationJson" }
-
-[plugins]
-jetbrains-kotlin-android = { id = "org.jetbrains.kotlin.android", version.ref = "kotlin" }
-android-application = { id = "com.android.application", version.ref = "agp" }
-compose-compiler = { id = "org.jetbrains.kotlin.plugin.compose", version.ref = "kotlin" }
-jetbrains-kotlin-serialization = { id = "org.jetbrains.kotlin.plugin.serialization", version.ref = "kotlinxSerializationPlugin" }
diff --git a/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.jar b/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.jar
deleted file mode 100644
index e708b1c02..000000000
Binary files a/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.jar and /dev/null differ
diff --git a/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.properties b/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.properties
deleted file mode 100644
index 2c47b5b4b..000000000
--- a/examples/simple-chatbot/client/android/gradle/wrapper/gradle-wrapper.properties
+++ /dev/null
@@ -1,6 +0,0 @@
-#Mon Aug 05 13:01:27 BST 2024
-distributionBase=GRADLE_USER_HOME
-distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-8.10.2-bin.zip
-zipStoreBase=GRADLE_USER_HOME
-zipStorePath=wrapper/dists
diff --git a/examples/simple-chatbot/client/android/gradlew b/examples/simple-chatbot/client/android/gradlew
deleted file mode 100755
index 4f906e0c8..000000000
--- a/examples/simple-chatbot/client/android/gradlew
+++ /dev/null
@@ -1,185 +0,0 @@
-#!/usr/bin/env sh
-
-#
-# Copyright 2015 the original author or authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-##############################################################################
-##
-## Gradle start up script for UN*X
-##
-##############################################################################
-
-# Attempt to set APP_HOME
-# Resolve links: $0 may be a link
-PRG="$0"
-# Need this for relative symlinks.
-while [ -h "$PRG" ] ; do
- ls=`ls -ld "$PRG"`
- link=`expr "$ls" : '.*-> \(.*\)$'`
- if expr "$link" : '/.*' > /dev/null; then
- PRG="$link"
- else
- PRG=`dirname "$PRG"`"/$link"
- fi
-done
-SAVED="`pwd`"
-cd "`dirname \"$PRG\"`/" >/dev/null
-APP_HOME="`pwd -P`"
-cd "$SAVED" >/dev/null
-
-APP_NAME="Gradle"
-APP_BASE_NAME=`basename "$0"`
-
-# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
-
-# Use the maximum available, or set MAX_FD != -1 to use that value.
-MAX_FD="maximum"
-
-warn () {
- echo "$*"
-}
-
-die () {
- echo
- echo "$*"
- echo
- exit 1
-}
-
-# OS specific support (must be 'true' or 'false').
-cygwin=false
-msys=false
-darwin=false
-nonstop=false
-case "`uname`" in
- CYGWIN* )
- cygwin=true
- ;;
- Darwin* )
- darwin=true
- ;;
- MINGW* )
- msys=true
- ;;
- NONSTOP* )
- nonstop=true
- ;;
-esac
-
-CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
-
-
-# Determine the Java command to use to start the JVM.
-if [ -n "$JAVA_HOME" ] ; then
- if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
- # IBM's JDK on AIX uses strange locations for the executables
- JAVACMD="$JAVA_HOME/jre/sh/java"
- else
- JAVACMD="$JAVA_HOME/bin/java"
- fi
- if [ ! -x "$JAVACMD" ] ; then
- die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
-
-Please set the JAVA_HOME variable in your environment to match the
-location of your Java installation."
- fi
-else
- JAVACMD="java"
- which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
-
-Please set the JAVA_HOME variable in your environment to match the
-location of your Java installation."
-fi
-
-# Increase the maximum file descriptors if we can.
-if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
- MAX_FD_LIMIT=`ulimit -H -n`
- if [ $? -eq 0 ] ; then
- if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
- MAX_FD="$MAX_FD_LIMIT"
- fi
- ulimit -n $MAX_FD
- if [ $? -ne 0 ] ; then
- warn "Could not set maximum file descriptor limit: $MAX_FD"
- fi
- else
- warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
- fi
-fi
-
-# For Darwin, add options to specify how the application appears in the dock
-if $darwin; then
- GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
-fi
-
-# For Cygwin or MSYS, switch paths to Windows format before running java
-if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
- APP_HOME=`cygpath --path --mixed "$APP_HOME"`
- CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
-
- JAVACMD=`cygpath --unix "$JAVACMD"`
-
- # We build the pattern for arguments to be converted via cygpath
- ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
- SEP=""
- for dir in $ROOTDIRSRAW ; do
- ROOTDIRS="$ROOTDIRS$SEP$dir"
- SEP="|"
- done
- OURCYGPATTERN="(^($ROOTDIRS))"
- # Add a user-defined pattern to the cygpath arguments
- if [ "$GRADLE_CYGPATTERN" != "" ] ; then
- OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
- fi
- # Now convert the arguments - kludge to limit ourselves to /bin/sh
- i=0
- for arg in "$@" ; do
- CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
- CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
-
- if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
- eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
- else
- eval `echo args$i`="\"$arg\""
- fi
- i=`expr $i + 1`
- done
- case $i in
- 0) set -- ;;
- 1) set -- "$args0" ;;
- 2) set -- "$args0" "$args1" ;;
- 3) set -- "$args0" "$args1" "$args2" ;;
- 4) set -- "$args0" "$args1" "$args2" "$args3" ;;
- 5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
- 6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
- 7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
- 8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
- 9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
- esac
-fi
-
-# Escape application args
-save () {
- for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
- echo " "
-}
-APP_ARGS=`save "$@"`
-
-# Collect all arguments for the java command, following the shell quoting and substitution rules
-eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
-
-exec "$JAVACMD" "$@"
diff --git a/examples/simple-chatbot/client/android/gradlew.bat b/examples/simple-chatbot/client/android/gradlew.bat
deleted file mode 100644
index 107acd32c..000000000
--- a/examples/simple-chatbot/client/android/gradlew.bat
+++ /dev/null
@@ -1,89 +0,0 @@
-@rem
-@rem Copyright 2015 the original author or authors.
-@rem
-@rem Licensed under the Apache License, Version 2.0 (the "License");
-@rem you may not use this file except in compliance with the License.
-@rem You may obtain a copy of the License at
-@rem
-@rem https://www.apache.org/licenses/LICENSE-2.0
-@rem
-@rem Unless required by applicable law or agreed to in writing, software
-@rem distributed under the License is distributed on an "AS IS" BASIS,
-@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-@rem See the License for the specific language governing permissions and
-@rem limitations under the License.
-@rem
-
-@if "%DEBUG%" == "" @echo off
-@rem ##########################################################################
-@rem
-@rem Gradle startup script for Windows
-@rem
-@rem ##########################################################################
-
-@rem Set local scope for the variables with windows NT shell
-if "%OS%"=="Windows_NT" setlocal
-
-set DIRNAME=%~dp0
-if "%DIRNAME%" == "" set DIRNAME=.
-set APP_BASE_NAME=%~n0
-set APP_HOME=%DIRNAME%
-
-@rem Resolve any "." and ".." in APP_HOME to make it shorter.
-for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
-
-@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
-
-@rem Find java.exe
-if defined JAVA_HOME goto findJavaFromJavaHome
-
-set JAVA_EXE=java.exe
-%JAVA_EXE% -version >NUL 2>&1
-if "%ERRORLEVEL%" == "0" goto execute
-
-echo.
-echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
-echo.
-echo Please set the JAVA_HOME variable in your environment to match the
-echo location of your Java installation.
-
-goto fail
-
-:findJavaFromJavaHome
-set JAVA_HOME=%JAVA_HOME:"=%
-set JAVA_EXE=%JAVA_HOME%/bin/java.exe
-
-if exist "%JAVA_EXE%" goto execute
-
-echo.
-echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
-echo.
-echo Please set the JAVA_HOME variable in your environment to match the
-echo location of your Java installation.
-
-goto fail
-
-:execute
-@rem Setup the command line
-
-set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
-
-
-@rem Execute Gradle
-"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
-
-:end
-@rem End local scope for the variables with windows NT shell
-if "%ERRORLEVEL%"=="0" goto mainEnd
-
-:fail
-rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
-rem the _cmd.exe /c_ return code!
-if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
-exit /b 1
-
-:mainEnd
-if "%OS%"=="Windows_NT" endlocal
-
-:omega
diff --git a/examples/simple-chatbot/client/android/settings.gradle.kts b/examples/simple-chatbot/client/android/settings.gradle.kts
deleted file mode 100644
index d416e5d43..000000000
--- a/examples/simple-chatbot/client/android/settings.gradle.kts
+++ /dev/null
@@ -1,24 +0,0 @@
-pluginManagement {
- repositories {
- google {
- content {
- includeGroupByRegex("com\\.android.*")
- includeGroupByRegex("com\\.google.*")
- includeGroupByRegex("androidx.*")
- }
- }
- mavenCentral()
- gradlePluginPortal()
- }
-}
-dependencyResolutionManagement {
- repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
- repositories {
- google()
- mavenCentral()
- mavenLocal()
- }
-}
-
-rootProject.name = "Pipecat Simple Chatbot Client"
-include(":simple-chatbot-client")
diff --git a/examples/simple-chatbot/client/android/simple-chatbot-client/.gitignore b/examples/simple-chatbot/client/android/simple-chatbot-client/.gitignore
deleted file mode 100644
index 42afabfd2..000000000
--- a/examples/simple-chatbot/client/android/simple-chatbot-client/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-/build
\ No newline at end of file
diff --git a/examples/simple-chatbot/client/android/simple-chatbot-client/build.gradle.kts b/examples/simple-chatbot/client/android/simple-chatbot-client/build.gradle.kts
deleted file mode 100644
index 72d1ab1b6..000000000
--- a/examples/simple-chatbot/client/android/simple-chatbot-client/build.gradle.kts
+++ /dev/null
@@ -1,75 +0,0 @@
-plugins {
- alias(libs.plugins.android.application)
- alias(libs.plugins.jetbrains.kotlin.android)
- alias(libs.plugins.jetbrains.kotlin.serialization)
- alias(libs.plugins.compose.compiler)
-}
-
-android {
- namespace = "ai.pipecat.simple_chatbot_client"
- compileSdk = 35
-
- defaultConfig {
- applicationId = "ai.pipecat.simple_chatbot_client"
- minSdk = 26
- targetSdk = 35
- versionCode = 1
- versionName = "1.0"
-
- vectorDrawables {
- useSupportLibrary = true
- }
- }
-
- buildTypes {
- release {
- isMinifyEnabled = false
- proguardFiles(
- getDefaultProguardFile("proguard-android-optimize.txt"),
- "proguard-rules.pro"
- )
- }
- }
-
- compileOptions {
- sourceCompatibility = JavaVersion.VERSION_1_8
- targetCompatibility = JavaVersion.VERSION_1_8
- }
-
- kotlinOptions {
- jvmTarget = "1.8"
- }
-
- buildFeatures {
- compose = true
- buildConfig = true
- }
-
- composeOptions {
- kotlinCompilerExtensionVersion = "1.5.1"
- }
-
- packaging {
- resources {
- excludes += "/META-INF/{AL2.0,LGPL2.1}"
- }
- }
-}
-
-dependencies {
- implementation(libs.pipecat.client.daily)
- implementation(libs.androidx.core.ktx)
- implementation(libs.androidx.lifecycle.runtime.ktx)
- implementation(libs.androidx.activity.compose)
- implementation(platform(libs.androidx.compose.bom))
- implementation(libs.androidx.ui)
- implementation(libs.androidx.ui.graphics)
- implementation(libs.androidx.ui.tooling.preview)
- implementation(libs.androidx.material3)
- implementation(libs.accompanist.permissions)
- implementation(libs.androidx.constraintlayout.compose)
- implementation(libs.kotlinx.serialization.json)
- androidTestImplementation(platform(libs.androidx.compose.bom))
- debugImplementation(libs.androidx.ui.tooling)
- debugImplementation(libs.androidx.ui.test.manifest)
-}
diff --git a/examples/simple-chatbot/client/android/simple-chatbot-client/proguard-rules.pro b/examples/simple-chatbot/client/android/simple-chatbot-client/proguard-rules.pro
deleted file mode 100644
index 481bb4348..000000000
--- a/examples/simple-chatbot/client/android/simple-chatbot-client/proguard-rules.pro
+++ /dev/null
@@ -1,21 +0,0 @@
-# Add project specific ProGuard rules here.
-# You can control the set of applied configuration files using the
-# proguardFiles setting in build.gradle.
-#
-# For more details, see
-# http://developer.android.com/guide/developing/tools/proguard.html
-
-# If your project uses WebView with JS, uncomment the following
-# and specify the fully qualified class name to the JavaScript interface
-# class:
-#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
-# public *;
-#}
-
-# Uncomment this to preserve the line number information for
-# debugging stack traces.
-#-keepattributes SourceFile,LineNumberTable
-
-# If you keep the line number information, uncomment this to
-# hide the original source file name.
-#-renamesourcefileattribute SourceFile
\ No newline at end of file
diff --git a/examples/simple-chatbot/client/android/simple-chatbot-client/src/main/AndroidManifest.xml b/examples/simple-chatbot/client/android/simple-chatbot-client/src/main/AndroidManifest.xml
deleted file mode 100644
index 397ea75cd..000000000
--- a/examples/simple-chatbot/client/android/simple-chatbot-client/src/main/AndroidManifest.xml
+++ /dev/null
@@ -1,37 +0,0 @@
-
-
-
-This example shows how to build a voice-driven interactive storytelling experience.
-It periodically prompts the user for input for a 'choose your own adventure' style experience.
-
-We use Gemini 2.0 for creating the story and image prompts, and we add visual elements to the story by generating images using Google's Imagen.
-
----
-
-### It uses the following AI services:
-
-**Deepgram - Speech-to-Text**
-
-Transcribes inbound participant voice media to text.
-
-**Google Gemini 2.0 - LLM**
-
-Our creative writer LLM. You can see the context used to prompt it [here](server/prompts.py)
-
-**ElevenLabs - Text-to-Speech**
-
-Converts and streams the LLM response from text to audio
-
-**Google Imagen - Image Generation**
-
-Adds pictures to our story. Prompting is quite key for style consistency, so we task the LLM to turn each story page into a short image prompt.
-
----
-
-## Setup
-
-### Client
-
-1. Navigate to the client directory:
-
- ```shell
- cd client
- ```
-
-2. Install dependencies:
-
- ```shell
- npm install
- ```
-
-3. Build the client:
-
- ```shell
- npm run build
- ```
-
-### Server
-
-1. Navigate to the server directory
-
- ```shell
- cd ../server
- ```
-
-2. Set up your virtual environment and install requirements
-
- ```shell
- python3 -m venv venv
- source venv/bin/activate
- pip install -r requirements.txt
- ```
-
-3. Create environment file and set variables
-
- ```shell
- mv env.example .env
- ```
-
- You'll need API keys for:
-
- - DAILY_API_KEY
- - ELEVENLABS_API_KEY
- - ELEVENLABS_VOICE_ID
- - GOOGLE_API_KEY
-
-4. (Optional) Deployment:
-
- When deploying to production, to ensure only this app can spawn new bot processes, set your `ENV` to `production`
-
-## Run it locally
-
-1. Navigate back to the demo's root directory:
-
- ```shell
- cd ..
- ```
-
-2. Run the application:
-
- ```shell
- python server/bot_runner.py --host localhost
- ```
-
- You can run with a custom domain or port using: `python server/bot_runner.py --host somehost --p someport`
-
-3. โก๏ธ Open the host URL in your browser: http://localhost:7860
-
----
-
-## Improvements to make
-
-- Wait for track_started event to avoid rushed intro
-- Show 5 minute timer on the UI
diff --git a/examples/storytelling-chatbot/client/.eslintrc.json b/examples/storytelling-chatbot/client/.eslintrc.json
deleted file mode 100644
index bffb357a7..000000000
--- a/examples/storytelling-chatbot/client/.eslintrc.json
+++ /dev/null
@@ -1,3 +0,0 @@
-{
- "extends": "next/core-web-vitals"
-}
diff --git a/examples/storytelling-chatbot/client/.gitignore b/examples/storytelling-chatbot/client/.gitignore
deleted file mode 100644
index fd3dbb571..000000000
--- a/examples/storytelling-chatbot/client/.gitignore
+++ /dev/null
@@ -1,36 +0,0 @@
-# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
-
-# dependencies
-/node_modules
-/.pnp
-.pnp.js
-.yarn/install-state.gz
-
-# testing
-/coverage
-
-# next.js
-/.next/
-/out/
-
-# production
-/build
-
-# misc
-.DS_Store
-*.pem
-
-# debug
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-
-# local env files
-.env*.local
-
-# vercel
-.vercel
-
-# typescript
-*.tsbuildinfo
-next-env.d.ts
diff --git a/examples/storytelling-chatbot/client/README.md b/examples/storytelling-chatbot/client/README.md
deleted file mode 100644
index c4033664f..000000000
--- a/examples/storytelling-chatbot/client/README.md
+++ /dev/null
@@ -1,36 +0,0 @@
-This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
-
-## Getting Started
-
-First, run the development server:
-
-```bash
-npm run dev
-# or
-yarn dev
-# or
-pnpm dev
-# or
-bun dev
-```
-
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
-
-You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
-
-This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
-
-## Learn More
-
-To learn more about Next.js, take a look at the following resources:
-
-- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
-- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
-
-You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
-
-## Deploy on Vercel
-
-The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
-
-Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.
diff --git a/examples/storytelling-chatbot/client/app/favicon.ico b/examples/storytelling-chatbot/client/app/favicon.ico
deleted file mode 100644
index 8c49042df..000000000
Binary files a/examples/storytelling-chatbot/client/app/favicon.ico and /dev/null differ
diff --git a/examples/storytelling-chatbot/client/app/globals.css b/examples/storytelling-chatbot/client/app/globals.css
deleted file mode 100644
index 4ea7806f0..000000000
--- a/examples/storytelling-chatbot/client/app/globals.css
+++ /dev/null
@@ -1,109 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer base {
- :root {
- --background: 0 0% 100%;
- --foreground: 224 71.4% 4.1%;
-
- --card: 0 0% 100%;
- --card-foreground: 224 71.4% 4.1%;
-
- --popover: 0 0% 100%;
- --popover-foreground: 224 71.4% 4.1%;
-
- --primary: 220.9 39.3% 11%;
- --primary-foreground: 210 20% 98%;
-
- --secondary: 220 14.3% 95.9%;
- --secondary-foreground: 220.9 39.3% 11%;
-
- --muted: 220 14.3% 95.9%;
- --muted-foreground: 220 8.9% 46.1%;
-
- --accent: 220 14.3% 95.9%;
- --accent-foreground: 220.9 39.3% 11%;
-
- --destructive: 0 84.2% 60.2%;
- --destructive-foreground: 210 20% 98%;
-
- --border: 220 13% 91%;
- --input: 220 13% 91%;
- --ring: 224 71.4% 4.1%;
-
- --radius: 0.5rem;
- }
-
- .dark {
- --background: 224 71.4% 4.1%;
- --foreground: 210 20% 98%;
-
- --card: 224 71.4% 4.1%;
- --card-foreground: 210 20% 98%;
-
- --popover: 224 71.4% 4.1%;
- --popover-foreground: 210 20% 98%;
-
- --primary: 210 20% 98%;
- --primary-foreground: 220.9 39.3% 11%;
-
- --secondary: 215 27.9% 16.9%;
- --secondary-foreground: 210 20% 98%;
-
- --muted: 215 27.9% 16.9%;
- --muted-foreground: 217.9 10.6% 64.9%;
-
- --accent: 215 27.9% 16.9%;
- --accent-foreground: 210 20% 98%;
-
- --destructive: 0 62.8% 30.6%;
- --destructive-foreground: 210 20% 98%;
-
- --border: 215 27.9% 16.9%;
- --input: 215 27.9% 16.9%;
- --ring: 216 12.2% 83.9%;
- }
-}
-
-@layer base {
- * {
- @apply border-border;
- }
- body {
- @apply bg-background text-foreground;
- }
-}
-
-body{
- background: url("/bg.jpg") no-repeat center center;
- background-size: cover;
-}
-
-.cardShadow{
- box-shadow: 0px 124px 35px 0px rgba(0, 0, 0, 0.00), 0px 79px 32px 0px rgba(0, 0, 0, 0.01), 0px 45px 27px 0px rgba(0, 0, 0, 0.05), 0px 20px 20px 0px rgba(0, 0, 0, 0.09), 0px 5px 11px 0px rgba(0, 0, 0, 0.10);
-}
-
-@keyframes fadeInSlideUp {
- 0% {
- opacity: 0;
- transform: translateY(50px);
- }
- 100% {
- opacity: 1;
- transform: translateY(0);
- }
-}
-
-.fade-in {
- animation: fadeIn 1s ease-out;
-}
-
-@keyframes fadeIn {
- 0% {
- opacity: 0;
- }
- 100% {
- opacity: 1;
- }
-}
\ No newline at end of file
diff --git a/examples/storytelling-chatbot/client/app/layout.tsx b/examples/storytelling-chatbot/client/app/layout.tsx
deleted file mode 100644
index e7ca11512..000000000
--- a/examples/storytelling-chatbot/client/app/layout.tsx
+++ /dev/null
@@ -1,46 +0,0 @@
-import React from "react";
-
-import "./globals.css";
-import type { Metadata } from "next";
-import { Space_Grotesk, Space_Mono } from "next/font/google";
-
-import { cn } from "@/app/utils";
-
-// Font
-const sans = Space_Grotesk({
- subsets: ["latin"],
- weight: ["400", "500", "600"],
- variable: "--font-sans",
-});
-
-const mono = Space_Mono({
- subsets: ["latin"],
- weight: ["400", "700"],
- variable: "--font-mono",
-});
-
-export const metadata: Metadata = {
- title: "Storytelling Chatbot - Daily AI",
- description: "Built with git.new/ai",
- metadataBase: new URL(process.env.SITE_URL || "http://localhost:3000"),
-};
-
-export default function RootLayout({
- children,
-}: Readonly<{
- children: React.ReactNode;
-}>) {
- return (
-
-
- - This demo is currently at capacity. Please try again later. -
-- Please check your browser and system permissions. Make sure that - this app is allowed to access your microphone. -
- ) : micState === "in-use" ? ( -- Your microphone is being used by another app. Please close any - other apps using your microphone and restart this app. -
- ) : micState === "not-found" ? ( -- No microphone seems to be connected. Please connect a microphone. -
- ) : micState === "not-supported" ? ( -- This app is not supported on your device. Please update your - software or use a different device. -
- ) : ( -- There seems to be an issue accessing your microphone. Try - restarting the app or consult a system administrator. -
- )} -- This app demos a voice-controlled storytelling chatbot. It will - start with the bot asking you what kind of story you'd like - to hear (e.g. a fairy tale, a mystery, etc.). After each scene, - the bot will pause to ask for your input. Direct the story any - way you choose! -
-
-
-
- Since you'll be talking to Storybot, we need to make sure - it can hear you! Please configure your microphone and speakers - below. -
-- {sentence} -
- ))} - {partialText && ( -- {partialText} -
- )} -
-
-This app listens for user speech, then translates that speech to Spanish and speaks the translation back to the user using text-to-speech. It's probably most useful with multiple users talking to each other, along with some manual track subscription management in the Daily call.
-
-See a quick video walkthrough of the code here: https://www.loom.com/share/59fdddf129534dc2be4dde3cc6ebe8de
-
-## Get started
-
-```python
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-cp env.example .env # and add your credentials
-
-```
-
-## Run the server
-
-```bash
-python server.py
-```
-
-Then, visit `http://localhost:7860/` in your browser to start a translatorbot session.
-
-## Build and test the Docker image
-
-```
-docker build -t chatbot .
-docker run --env-file .env -p 7860:7860 chatbot
-```
diff --git a/examples/translation-chatbot/bot.py b/examples/translation-chatbot/bot.py
deleted file mode 100644
index e845b6d07..000000000
--- a/examples/translation-chatbot/bot.py
+++ /dev/null
@@ -1,216 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import asyncio
-import os
-import sys
-from typing import List
-
-import aiohttp
-from dotenv import load_dotenv
-from loguru import logger
-from runner import configure
-
-from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import (
- Frame,
- LLMMessagesFrame,
- TranscriptionFrame,
- TranscriptionMessage,
- TranscriptionUpdateFrame,
-)
-from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineParams, PipelineTask
-from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.processors.filters.stt_mute_filter import STTMuteConfig, STTMuteFilter, STTMuteStrategy
-from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.processors.frameworks.rtvi import RTVIObserver, RTVIProcessor
-from pipecat.processors.transcript_processor import TranscriptProcessor
-from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.transports.services.daily import DailyParams, DailyTransport
-
-load_dotenv(override=True)
-
-logger.remove(0)
-logger.add(sys.stderr, level="DEBUG")
-
-
-"""
-This example looks a bit different than the chatbot example, because it isn't waiting on the user to stop talking to start translating.
-It also isn't saving what the user or bot says into the context object for use in subsequent interactions.
-"""
-
-
-# We need to use a custom service here to yield LLM frames without saving
-# any context
-class TranslationProcessor(FrameProcessor):
- """A processor that translates text frames from a source language to a target language."""
-
- def __init__(self, in_language, out_language):
- """Initialize the TranslationProcessor with source and target languages.
-
- Args:
- in_language (str): The language of the input text.
- out_language (str): The language to translate the text into.
- """
- super().__init__()
- self._out_language = out_language
- self._in_language = in_language
-
- async def process_frame(self, frame: Frame, direction: FrameDirection):
- """Process a frame and translate text frames.
-
- Args:
- frame (Frame): The frame to process.
- direction (FrameDirection): The direction of the frame.
- """
- await super().process_frame(frame, direction)
-
- if isinstance(frame, TranscriptionFrame):
- logger.debug(f"Translating {self._in_language}: {frame.text} to {self._out_language}")
- context = [
- {
- "role": "system",
- "content": f"You will be provided with a sentence in {self._in_language}, and your task is to only translate it into {self._out_language}.",
- },
- {"role": "user", "content": frame.text},
- ]
- await self.push_frame(LLMMessagesFrame(context))
- else:
- await self.push_frame(frame)
-
-
-class TranscriptHandler:
- """Simple handler to demonstrate transcript processing.
-
- Maintains a list of conversation messages and logs them with timestamps.
- """
-
- def __init__(self, in_language="English", out_language="Spanish"):
- """Initialize the TranscriptHandler with an empty list of messages."""
- self.messages: List[TranscriptionMessage] = []
- self.in_language = in_language
- self.out_language = out_language
-
- async def on_transcript_update(
- self, processor: TranscriptProcessor, frame: TranscriptionUpdateFrame
- ):
- """Handle new transcript messages.
-
- Args:
- processor: The TranscriptProcessor that emitted the update
- frame: TranscriptionUpdateFrame containing new messages
- """
- self.messages.extend(frame.messages)
-
- # Log the new messages
- logger.info("New transcript messages:")
- for msg in frame.messages:
- timestamp = f"[{msg.timestamp}] " if msg.timestamp else ""
- message = {
- "event": "translation",
- "timestamp": msg.timestamp,
- "role": msg.role,
- "language": self.out_language if msg.role == "assistant" else self.in_language,
- "text": msg.content,
- }
- logger.info(f"{timestamp}{msg.role}: {msg.content}")
-
-
-async def main():
- """Main function to set up and run the translation chatbot pipeline."""
- async with aiohttp.ClientSession() as session:
- (room_url, token) = await configure(session)
-
- transport = DailyTransport(
- room_url,
- token,
- "Translator",
- DailyParams(
- audio_in_enabled=True,
- audio_out_enabled=True,
- vad_analyzer=SileroVADAnalyzer(),
- ),
- )
-
- stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
-
- stt_mute_processor = STTMuteFilter(
- config=STTMuteConfig(
- strategies={
- STTMuteStrategy.ALWAYS,
- }
- ),
- )
-
- tts = CartesiaTTSService(
- api_key=os.getenv("CARTESIA_API_KEY"),
- voice_id="34dbb662-8e98-413c-a1ef-1a3407675fe7", # Spanish Narrator Man
- model="sonic-2",
- )
-
- in_language = "English"
- out_language = "Spanish"
-
- llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
- context = OpenAILLMContext()
- context_aggregator = llm.create_context_aggregator(context)
-
- tp = TranslationProcessor(in_language=in_language, out_language=out_language)
-
- transcript = TranscriptProcessor()
- transcript_handler = TranscriptHandler(in_language=in_language, out_language=out_language)
-
- # Register event handler for transcript updates
- @transcript.event_handler("on_transcript_update")
- async def on_transcript_update(processor, frame):
- await transcript_handler.on_transcript_update(processor, frame)
-
- rtvi = RTVIProcessor()
-
- pipeline = Pipeline(
- [
- transport.input(),
- rtvi,
- stt_mute_processor, # We don't want to interrupt the translator bot
- stt,
- transcript.user(), # User transcripts
- tp,
- llm,
- tts,
- transport.output(),
- transcript.assistant(),
- context_aggregator.assistant(),
- ]
- )
-
- task = PipelineTask(
- pipeline,
- params=PipelineParams(
- enable_metrics=True,
- enable_usage_metrics=True,
- ),
- observers=[RTVIObserver(rtvi)],
- )
-
- @transport.event_handler("on_first_participant_joined")
- async def on_first_participant_joined(transport, participant):
- logger.info("First participant joined")
-
- @transport.event_handler("on_participant_left")
- async def on_participant_left(transport, participant, reason):
- await task.cancel()
-
- runner = PipelineRunner()
-
- await runner.run(task)
-
-
-if __name__ == "__main__":
- asyncio.run(main())
diff --git a/examples/translation-chatbot/env.example b/examples/translation-chatbot/env.example
deleted file mode 100644
index 42c1083bf..000000000
--- a/examples/translation-chatbot/env.example
+++ /dev/null
@@ -1,5 +0,0 @@
-DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
-DAILY_API_KEY=7df...
-OPENAI_API_KEY=sk-PL...
-AZURE_SPEECH_REGION=westus...
-AZURE_SPEECH_API_KEY=febf...
\ No newline at end of file
diff --git a/examples/translation-chatbot/image.png b/examples/translation-chatbot/image.png
deleted file mode 100644
index af7ebe0bb..000000000
Binary files a/examples/translation-chatbot/image.png and /dev/null differ
diff --git a/examples/translation-chatbot/requirements.txt b/examples/translation-chatbot/requirements.txt
deleted file mode 100644
index da1cbf0af..000000000
--- a/examples/translation-chatbot/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-python-dotenv
-fastapi[all]
-pipecat-ai[cartesia,daily,deepgram,openai,silero]
-aiohttp
diff --git a/examples/translation-chatbot/runner.py b/examples/translation-chatbot/runner.py
deleted file mode 100644
index ad39a3ac4..000000000
--- a/examples/translation-chatbot/runner.py
+++ /dev/null
@@ -1,55 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-
-import aiohttp
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
-
-
-async def configure(aiohttp_session: aiohttp.ClientSession):
- parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
- parser.add_argument(
- "-u", "--url", type=str, required=False, help="URL of the Daily room to join"
- )
- parser.add_argument(
- "-k",
- "--apikey",
- type=str,
- required=False,
- help="Daily API Key (needed to create an owner token for the room)",
- )
-
- args, unknown = parser.parse_known_args()
-
- url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
- key = args.apikey or os.getenv("DAILY_API_KEY")
-
- if not url:
- raise Exception(
- "No Daily room specified. use the -u/--url option from the command line, or set DAILY_SAMPLE_ROOM_URL in your environment to specify a Daily room URL."
- )
-
- if not key:
- raise Exception(
- "No Daily API key specified. use the -k/--apikey option from the command line, or set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers."
- )
-
- daily_rest_helper = DailyRESTHelper(
- daily_api_key=key,
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
-
- # Create a meeting token for the given room with an expiration 1 hour in
- # the future.
- expiry_time: float = 60 * 60
-
- token = await daily_rest_helper.get_token(url, expiry_time)
-
- return (url, token)
diff --git a/examples/translation-chatbot/server.py b/examples/translation-chatbot/server.py
deleted file mode 100644
index 1dd2ac966..000000000
--- a/examples/translation-chatbot/server.py
+++ /dev/null
@@ -1,136 +0,0 @@
-#
-# Copyright (c) 2024โ2025, Daily
-#
-# SPDX-License-Identifier: BSD 2-Clause License
-#
-
-import argparse
-import os
-import subprocess
-from contextlib import asynccontextmanager
-
-import aiohttp
-from fastapi import FastAPI, HTTPException, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import JSONResponse, RedirectResponse
-
-from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
-
-MAX_BOTS_PER_ROOM = 1
-
-# Bot sub-process dict for status reporting and concurrency control
-bot_procs = {}
-
-daily_helpers = {}
-
-
-def cleanup():
- # Clean up function, just to be extra safe
- for entry in bot_procs.values():
- proc = entry[0]
- proc.terminate()
- proc.wait()
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
- aiohttp_session = aiohttp.ClientSession()
- daily_helpers["rest"] = DailyRESTHelper(
- daily_api_key=os.getenv("DAILY_API_KEY", ""),
- daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
- aiohttp_session=aiohttp_session,
- )
- yield
- await aiohttp_session.close()
- cleanup()
-
-
-app = FastAPI(lifespan=lifespan)
-
-app.add_middleware(
- CORSMiddleware,
- allow_origins=["*"],
- allow_credentials=True,
- allow_methods=["*"],
- allow_headers=["*"],
-)
-
-
-@app.get("/")
-async def start_agent(request: Request):
- print(f"!!! Creating room")
- room = await daily_helpers["rest"].create_room(DailyRoomParams())
- print(f"!!! Room URL: {room.url}")
- # Ensure the room property is present
- if not room.url:
- raise HTTPException(
- status_code=500,
- detail="Missing 'room' property in request data. Cannot start agent without a target room!",
- )
-
- # Check if there is already an existing process running in this room
- num_bots_in_room = sum(
- 1 for proc in bot_procs.values() if proc[1] == room.url and proc[0].poll() is None
- )
- if num_bots_in_room >= MAX_BOTS_PER_ROOM:
- raise HTTPException(status_code=500, detail=f"Max bot limited reach for room: {room.url}")
-
- # Get the token for the room
- token = await daily_helpers["rest"].get_token(room.url)
-
- if not token:
- raise HTTPException(status_code=500, detail=f"Failed to get token for room: {room.url}")
-
- # Spawn a new agent, and join the user session
- # Note: this is mostly for demonstration purposes (refer to 'deployment' in README)
- try:
- proc = subprocess.Popen(
- [f"python3 -m bot -u {room.url} -t {token}"],
- shell=True,
- bufsize=1,
- cwd=os.path.dirname(os.path.abspath(__file__)),
- )
- bot_procs[proc.pid] = (proc, room.url)
- except Exception as e:
- raise HTTPException(status_code=500, detail=f"Failed to start subprocess: {e}")
-
- return RedirectResponse(room.url)
-
-
-@app.get("/status/{pid}")
-def get_status(pid: int):
- # Look up the subprocess
- proc = bot_procs.get(pid)
-
- # If the subprocess doesn't exist, return an error
- if not proc:
- raise HTTPException(status_code=404, detail=f"Bot with process id: {pid} not found")
-
- # Check the status of the subprocess
- if proc[0].poll() is None:
- status = "running"
- else:
- status = "finished"
-
- return JSONResponse({"bot_id": pid, "status": status})
-
-
-if __name__ == "__main__":
- import uvicorn
-
- default_host = os.getenv("HOST", "0.0.0.0")
- default_port = int(os.getenv("FAST_API_PORT", "7860"))
-
- parser = argparse.ArgumentParser(description="Daily Translator FastAPI server")
- parser.add_argument("--host", type=str, default=default_host, help="Host address")
- parser.add_argument("--port", type=int, default=default_port, help="Port number")
- parser.add_argument("--reload", action="store_true", help="Reload code on change")
-
- config = parser.parse_args()
-
- uvicorn.run(
- "server:app",
- host=config.host,
- port=config.port,
- reload=config.reload,
- )
diff --git a/examples/twilio-chatbot/.gitignore b/examples/twilio-chatbot/.gitignore
deleted file mode 100644
index 2bc1403d1..000000000
--- a/examples/twilio-chatbot/.gitignore
+++ /dev/null
@@ -1,161 +0,0 @@
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-# Usually these files are written by a python script from a template
-# before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-# For a library or package, you might want to ignore these files since the code is
-# intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-# However, in case of collaboration, if having platform-specific dependencies or dependencies
-# having no cross-platform support, pipenv may install dependencies that don't work, or not
-# install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-# This is especially recommended for binary packages to ensure reproducibility, and is more
-# commonly ignored for libraries.
-# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-# in version control.
-# https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-# and can be added to the global gitignore or merged into this file. For a more nuclear
-# option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-runpod.toml
diff --git a/examples/twilio-chatbot/Dockerfile b/examples/twilio-chatbot/Dockerfile
deleted file mode 100644
index 6e22d4cda..000000000
--- a/examples/twilio-chatbot/Dockerfile
+++ /dev/null
@@ -1,20 +0,0 @@
-# Use an official Python runtime as a parent image
-FROM python:3.10-bullseye
-
-# Set the working directory in the container
-WORKDIR /twilio-chatbot
-
-# Copy the requirements file into the container
-COPY requirements.txt .
-
-# Install any needed packages specified in requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy the current directory contents into the container
-COPY . .
-
-# Expose the desired port
-EXPOSE 8765
-
-# Run the application
-CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "8765"]
diff --git a/examples/twilio-chatbot/README.md b/examples/twilio-chatbot/README.md
deleted file mode 100644
index 9c7a4be95..000000000
--- a/examples/twilio-chatbot/README.md
+++ /dev/null
@@ -1,115 +0,0 @@
-# Twilio Chatbot
-
-This project is a FastAPI-based chatbot that integrates with Twilio to handle WebSocket connections and provide real-time communication. The project includes endpoints for starting a call and handling WebSocket connections.
-
-## Table of Contents
-
-- [Features](#features)
-- [Requirements](#requirements)
-- [Installation](#installation)
-- [Configure Twilio URLs](#configure-twilio-urls)
-- [Running the Application](#running-the-application)
-- [Usage](#usage)
-
-## Features
-
-- **FastAPI**: A modern, fast (high-performance), web framework for building APIs with Python 3.6+.
-- **WebSocket Support**: Real-time communication using WebSockets.
-- **CORS Middleware**: Allowing cross-origin requests for testing.
-- **Dockerized**: Easily deployable using Docker.
-
-## Requirements
-
-- Python 3.10
-- Docker (for containerized deployment)
-- ngrok (for tunneling)
-- Twilio Account
-
-## Installation
-
-1. **Set up a virtual environment** (optional but recommended):
-
- ```sh
- python -m venv venv
- source venv/bin/activate # On Windows, use `venv\Scripts\activate`
- ```
-
-2. **Install dependencies**:
-
- ```sh
- pip install -r requirements.txt
- ```
-
-3. **Create .env**:
- Copy the example environment file and update with your settings:
-
- ```sh
- cp env.example .env
- ```
-
-4. **Install ngrok**:
- Follow the instructions on the [ngrok website](https://ngrok.com/download) to download and install ngrok.
-
-## Configure Twilio URLs
-
-1. **Start ngrok**:
- In a new terminal, start ngrok to tunnel the local server:
-
- ```sh
- ngrok http 8765
- ```
-
-2. **Update the Twilio Webhook**:
-
- - Go to your Twilio phone number's configuration page
- - Under "Voice Configuration", in the "A call comes in" section:
- - Select "Webhook" from the dropdown
- - Enter your ngrok URL (e.g., http://
-
-### Phone-Based Game
-
-In this three-way conversation, an AI host provides words, you describe them without saying the actual word, and an AI player tries to guess. The host tracks your score and manages game flow.
-
-**Try it now:** Call +1-929-**LLM-GAME** (+1-929-556-4263)
-
-## Game Rules
-
-### Web-based Game
-
-1. The web app provides words for you to describe
-2. You describe the word WITHOUT saying any part of it
-3. The AI player tries to guess based on your description
-4. The app will automatically check the guesses and keep score
-5. Click "Skip" to advance to the next word
-6. You have 60 seconds to score as many points as possible
-
-### Phone Game
-
-1. The AI host provides a word for you to describe
-2. You describe the word WITHOUT saying any part of it
-3. The AI player tries to guess based on your description
-4. Score points for each correct guess
-5. Use commands like "skip" to get a new word or "repeat" to hear the current word again
-6. You have 120 seconds to score as many points as possible
-
-## Architecture
-
-### Web Game Architecture
-
-The web game uses a simple linear flow:
-
-1. **Transport Input** - Receives audio from the web browser via a Daily WebRTC transport.
-2. **RTVIProcessor** - RTVI is a standard for client/server communication in a voice AI context. This processor collects server-side information and makes it available to the client. Additionally, the client can send events to the server, which are handled through this processor.
-3. **STTMuteFilter** - Filters out speech during specific conditions. In this game, the user's initial speech is "muted", ensuring that the bot can deliver the entire initial message without being interrupted.
-4. **User Context Aggregator** - Aggregates user messages as part of the conversation context.
-5. **LLM** - The LLM powers the AI player's interactions.
-6. **Transport Output** - Sends audio back to the browser using the Daily WebRTC transport.
-7. **Assistant Context Aggregator** - Aggregates assistant messages as part of the conversation context.
-
-### Phone Game Architecture
-
-The phone game implements a three-way conversation using Pipecat's parallel pipeline architecture. This design addresses the fundamental challenge of LLMs - they're built for turn-based interactions, while this game requires real-time, multi-participant conversation management.
-
-
-
-#### Conversation Participants
-
-**Audio Flow Requirements:**
-
-- **User:** Must hear both the Host and Player outputs; must be heard by both Host and Player
-- **Host:** Must hear the User and Player inputs; its output must be heard by User but NOT by Player
-- **Player:** Must hear only the User inputs; its output must be heard by both User and Host
-
-#### Technical Implementation
-
-The parallel pipeline pattern allows us to create two isolated processing branches, with controlled audio flow between them:
-
-1. **Transport Input** - Receives audio from the phone call (Twilio)
-2. **Audio Branch Separation:**
- - **Left Branch (Host Pipeline):** `ConsumerProcessor โ Host LLM โ Game State Tracker โ TTS โ Bot Stop Detector`
- - **Right Branch (Player Pipeline):** `StartFrame Gate โ Player LLM โ ProducerProcessor`
-
-**Host LLM Configuration:**
-
-The Host uses Gemini Live API, configured with specific response patterns to handle different input types:
-
-```
-- Correct guess: "Correct! That's [N] points. Your next word is [new word]"
-- Incorrect guess: "NO" (filtered out by TTS filter)
-- User descriptions: "IGNORE" (filtered out by TTS filter)
-- Skip requests: "The new word is [new word]"
-- Repeat requests: "Your word is [current word]"
-```
-
-**Audio Flow Management:**
-
-By default, all input audio flows to both branches, so both LLMs hear the user. To implement the complex routing:
-
-1. **Producer/Consumer Pattern:** Captures the Player's output audio and feeds it to the Host
-
- - `ProducerProcessor` filters TTSAudioRawFrames from the Player
- - Transforms them from 24kHz to 16kHz (required by Gemini Live)
- - Passes them to the `ConsumerProcessor` at the top of the Host branch
-
-2. **Text Filtering:** The `HostResponseTextFilter` intercepts the "NO" and "IGNORE" responses
-
- - Prevents TTS vocalization of these responses
- - Ensures that only meaningful Host responses are spoken
-
-3. **Host-Player Synchronization:**
-
- - `BotStoppedSpeakingNotifier` detects when the Host finishes speaking
- - `GameStateTracker` parses the streamed text to detect new words and track score
- - `NewWordNotifier` triggers the `ResettablePlayerLLM` to disconnect and reconnect when a new word is presented
- - This reset ensures the Player has no context of previous words or guesses
-
-4. **StartFrameGate:** The gate holds the Player's StartFrame until the Host has completed its introduction
- - Ensures the Player doesn't start interacting until the game has been properly set up
-
-All processed audio is collected at the end of the Parallel Pipeline and sent via the transport output back to Twilio.
-
-#### Game State Management
-
-The implementation tracks:
-
-- Current words being guessed
-- Running score (points for correct guesses)
-- Game duration with automatic timeout
-
-This architecture enables complex interaction patterns that would be difficult to achieve with traditional turn-based conversation models, allowing each AI participant to function effectively in their specific game role.
-
-## Run Locally
-
-### Web Game
-
-#### Run the Server
-
-1. Switch to the server directory:
-
- ```bash
- cd server
- ```
-
-2. Set up and activate your virtual environment:
-
- ```bash
- python3 -m venv venv
- source venv/bin/activate # On Windows: venv\Scripts\activate
- ```
-
-3. Install dependencies:
-
- ```bash
- pip install -r requirements.txt
- ```
-
-4. Create an .env file and add your API keys:
-
- ```bash
- cp env.example .env
- ```
-
-5. Add environment variables for:
-
- ```
- DAILY_API_KEY=
- DAILY_SAMPLE_ROOM_URL=
- GOOGLE_API_KEY=
- ```
-
-6. Run the server:
-
- ```bash
- LOCAL_RUN=1 python server.py
- ```
-
-#### Run the Client
-
-1. In a new terminal window, navigate to client:
-
- ```bash
- cd client
- ```
-
-2. Install dependencies:
-
- ```bash
- npm install
- ```
-
-3. Create an .env.local file:
-
- ```bash
- cp env.example .env.local
- ```
-
-4. In .env.local:
-
- - `NEXT_PUBLIC_API_BASE_URL=http://localhost:7860` is used for local development. For deployments, either remove this env var or replace with `/api`.
- - `AGENT_NAME` should be set to the name of your deployed Pipecat agent (e.g., "word-wrangler").
- - `PIPECAT_CLOUD_API_KEY` is used only for deployments to Pipecat Cloud.
-
-5. Run the app:
-
- ```bash
- npm run dev
- ```
-
-6. Open http://localhost:3000 in your browser
-
-### Phone Game
-
-There are two versions of the phone game:
-
-1. **Local Development** (`bot_phone_local.py`):
-
- - For testing locally before deployment
-
-2. **Deployment** (`bot_phone_twilio.py`):
- - Ready for deployment to Pipecat Cloud
-
-#### Running Locally
-
-1. Set up and activate your virtual environment:
-
- ```bash
- python3 -m venv venv
- source venv/bin/activate # On Windows: venv\Scripts\activate
- ```
-
-2. Install dependencies:
-
- ```bash
- pip install -r requirements.txt
- ```
-
-3. Create an .env file in the server directory with your API keys:
-
- ```bash
- cd server
- cp env.example .env
- ```
-
-4. Configure Daily information in your .env:
-
- ```
- DAILY_API_KEY=your_daily_api_key
- DAILY_SAMPLE_ROOM_URL=your_daily_room_url
- GOOGLE_API_KEY=your_google_api_key
- GOOGLE_TEST_CREDENTIALS_FILE=path_to_credentials_file
- ```
-
-5. Run the local bot:
-
- ```bash
- LOCAL_RUN=1 python bot_phone_local.py
- ```
-
-## Deployment
-
-### Web Game
-
-#### Deploy your Server
-
-You can deploy your server code using Pipecat Cloud. For a full walkthrough, start with the [Pipecat Cloud Quickstart](https://docs.pipecat.daily.co/quickstart).
-
-Here are the steps you'll need to complete:
-
-- Build, tag, and push your Docker image to a registry.
-- Create Pipecat Cloud secrets using the CLI or dashboard. For this agent, you only need a `GOOGLE_API_KEY`. Your `DAILY_API_KEY` is automatically applied.
-- Deploy your agent image. You can use a pcc-deploy.toml file to make deploying easier. For example:
-
-```toml
-agent_name = "word-wrangler"
-image = "your-dockerhub-name/word-wrangler:0.1"
-secret_set = "word-wrangler-secrets"
-enable_krisp = true
-
-[scaling]
- min_instances = 1
- max_instances = 5
-```
-
-Then, you can deploy with the CLI using `pcc deploy`.
-
-- Finally, confirm that your agent is deployed. You'll get feedback in the terminal.
-
-#### Deploy your Client
-
-This project uses TypeScript, React, and Next.js, making it a perfect fit for [Vercel](https://vercel.com/).
-
-- In your client directory, install Vercel's CLI tool: `npm install -g vercel`
-- Verify it's installed using `vercel --version`
-- Log in your Vercel account using `vercel login`
-- Deploy your client to Vercel using `vercel`
-
-### Phone Game
-
-#### Deploy your Server
-
-Again, we'll use Pipecat Cloud. Follow the steps from above. The only difference will be the secrets required; in addition to a GOOGLE_API_KEY, you'll need `GOOGLE_APPLICATION_CREDENTIALS` in the format of a .json file with your [Google Cloud service account](https://console.cloud.google.com/iam-admin/serviceaccounts) information.
-
-You'll need to modify the Dockerfile so that the credentials.json and word_list.py are accessible. This Dockerfile will work:
-
-```Dockerfile
-FROM dailyco/pipecat-base:latest
-
-COPY ./requirements.txt requirements.txt
-
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
-
-COPY ./word_list.py word_list.py
-COPY ./credentials.json credentials.json
-COPY ./bot_phone_twilio.py bot.py
-```
-
-Note: Your `credentials.json` file should have your Google service account credentials.
-
-#### Buy and Configure a Twilio Number
-
-Check out the [Twilio Websocket Telephony guide](https://docs.pipecat.daily.co/pipecat-in-production/telephony/twilio-mediastreams) for a step-by-step walkthrough on how to purchase a phone number, configure your TwiML, and make or receive calls.
-
-## Tech stack
-
-Both games are built using:
-
-- [Pipecat](https://www.pipecat.ai/) framework for real-time voice conversation
-- Google's Gemini Live API
-- Real-time communication (Web via Daily, Phone via Twilio)
-
-The phone game features:
-
-- Parallel processing of host and player interactions
-- State tracking for game progress and scoring
-- Dynamic word selection from multiple categories
-- Automated game timing and scoring
diff --git a/examples/word-wrangler-gemini-live/client/.gitignore b/examples/word-wrangler-gemini-live/client/.gitignore
deleted file mode 100644
index 5ef6a5207..000000000
--- a/examples/word-wrangler-gemini-live/client/.gitignore
+++ /dev/null
@@ -1,41 +0,0 @@
-# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
-
-# dependencies
-/node_modules
-/.pnp
-.pnp.*
-.yarn/*
-!.yarn/patches
-!.yarn/plugins
-!.yarn/releases
-!.yarn/versions
-
-# testing
-/coverage
-
-# next.js
-/.next/
-/out/
-
-# production
-/build
-
-# misc
-.DS_Store
-*.pem
-
-# debug
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-.pnpm-debug.log*
-
-# env files (can opt-in for committing if needed)
-.env*
-
-# vercel
-.vercel
-
-# typescript
-*.tsbuildinfo
-next-env.d.ts
diff --git a/examples/word-wrangler-gemini-live/client/env.example b/examples/word-wrangler-gemini-live/client/env.example
deleted file mode 100644
index 271dc721d..000000000
--- a/examples/word-wrangler-gemini-live/client/env.example
+++ /dev/null
@@ -1,3 +0,0 @@
-NEXT_PUBLIC_API_BASE_URL=http://localhost:7860
-PIPECAT_CLOUD_API_KEY=""
-AGENT_NAME=word-wrangler
\ No newline at end of file
diff --git a/examples/word-wrangler-gemini-live/client/eslint.config.mjs b/examples/word-wrangler-gemini-live/client/eslint.config.mjs
deleted file mode 100644
index c85fb67c4..000000000
--- a/examples/word-wrangler-gemini-live/client/eslint.config.mjs
+++ /dev/null
@@ -1,16 +0,0 @@
-import { dirname } from "path";
-import { fileURLToPath } from "url";
-import { FlatCompat } from "@eslint/eslintrc";
-
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = dirname(__filename);
-
-const compat = new FlatCompat({
- baseDirectory: __dirname,
-});
-
-const eslintConfig = [
- ...compat.extends("next/core-web-vitals", "next/typescript"),
-];
-
-export default eslintConfig;
diff --git a/examples/word-wrangler-gemini-live/client/next.config.ts b/examples/word-wrangler-gemini-live/client/next.config.ts
deleted file mode 100644
index 391516359..000000000
--- a/examples/word-wrangler-gemini-live/client/next.config.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import type { NextConfig } from "next";
-
-const nextConfig: NextConfig = {
- /* config options here */
- reactStrictMode: true,
-};
-
-export default nextConfig;
diff --git a/examples/word-wrangler-gemini-live/client/package-lock.json b/examples/word-wrangler-gemini-live/client/package-lock.json
deleted file mode 100644
index 2838f1b4c..000000000
--- a/examples/word-wrangler-gemini-live/client/package-lock.json
+++ /dev/null
@@ -1,6395 +0,0 @@
-{
- "name": "client",
- "version": "0.1.0",
- "lockfileVersion": 3,
- "requires": true,
- "packages": {
- "": {
- "name": "client",
- "version": "0.1.0",
- "dependencies": {
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- "@pipecat-ai/client-react": "^1.0.0",
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- "@tabler/icons-react": "^3.31.0",
- "@tailwindcss/postcss": "^4.1.3",
- "jotai": "^2.12.5",
- "js-confetti": "^0.12.0",
- "next": "15.2.4",
- "react": "^19.0.0",
- "react-dom": "^19.0.0"
- },
- "devDependencies": {
- "@eslint/eslintrc": "^3",
- "@types/node": "^20",
- "@types/react": "^19",
- "@types/react-dom": "^19",
- "eslint": "^9",
- "eslint-config-next": "15.2.4",
- "postcss": "^8.5.3",
- "tailwindcss": "^4.1.3",
- "typescript": "^5"
- }
- },
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- "node": ">=10"
- },
- "funding": {
- "url": "https://github.com/sponsors/sindresorhus"
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- "@jridgewell/trace-mapping": "^0.3.24"
- },
- "engines": {
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- "license": "MIT",
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- "license": "MIT",
- "optional": true,
- "dependencies": {
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diff --git a/examples/word-wrangler-gemini-live/client/package.json b/examples/word-wrangler-gemini-live/client/package.json
deleted file mode 100644
index 4c047f3e3..000000000
--- a/examples/word-wrangler-gemini-live/client/package.json
+++ /dev/null
@@ -1,34 +0,0 @@
-{
- "name": "client",
- "version": "0.1.0",
- "private": true,
- "scripts": {
- "dev": "next dev",
- "build": "next build",
- "start": "next start",
- "lint": "next lint"
- },
- "dependencies": {
- "@pipecat-ai/client-js": "^1.0.0",
- "@pipecat-ai/client-react": "^1.0.0",
- "@pipecat-ai/daily-transport": "^1.0.0",
- "@tabler/icons-react": "^3.31.0",
- "@tailwindcss/postcss": "^4.1.3",
- "jotai": "^2.12.5",
- "js-confetti": "^0.12.0",
- "next": "15.2.4",
- "react": "^19.0.0",
- "react-dom": "^19.0.0"
- },
- "devDependencies": {
- "@eslint/eslintrc": "^3",
- "@types/node": "^20",
- "@types/react": "^19",
- "@types/react-dom": "^19",
- "eslint": "^9",
- "eslint-config-next": "15.2.4",
- "postcss": "^8.5.3",
- "tailwindcss": "^4.1.3",
- "typescript": "^5"
- }
-}
diff --git a/examples/word-wrangler-gemini-live/client/postcss.config.mjs b/examples/word-wrangler-gemini-live/client/postcss.config.mjs
deleted file mode 100644
index c7bcb4b1e..000000000
--- a/examples/word-wrangler-gemini-live/client/postcss.config.mjs
+++ /dev/null
@@ -1,5 +0,0 @@
-const config = {
- plugins: ["@tailwindcss/postcss"],
-};
-
-export default config;
diff --git a/examples/word-wrangler-gemini-live/client/public/favicon.svg b/examples/word-wrangler-gemini-live/client/public/favicon.svg
deleted file mode 100644
index a0260a809..000000000
--- a/examples/word-wrangler-gemini-live/client/public/favicon.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-
diff --git a/examples/word-wrangler-gemini-live/client/public/og-image.png b/examples/word-wrangler-gemini-live/client/public/og-image.png
deleted file mode 100644
index cc667ae8a..000000000
Binary files a/examples/word-wrangler-gemini-live/client/public/og-image.png and /dev/null differ
diff --git a/examples/word-wrangler-gemini-live/client/src/assets/logo.png b/examples/word-wrangler-gemini-live/client/src/assets/logo.png
deleted file mode 100644
index ddfac1a55..000000000
Binary files a/examples/word-wrangler-gemini-live/client/src/assets/logo.png and /dev/null differ
diff --git a/examples/word-wrangler-gemini-live/client/src/assets/star.png b/examples/word-wrangler-gemini-live/client/src/assets/star.png
deleted file mode 100644
index 8e2ebbf0f..000000000
Binary files a/examples/word-wrangler-gemini-live/client/src/assets/star.png and /dev/null differ
diff --git a/examples/word-wrangler-gemini-live/client/src/components/Card.tsx b/examples/word-wrangler-gemini-live/client/src/components/Card.tsx
deleted file mode 100644
index 16d5ca18d..000000000
--- a/examples/word-wrangler-gemini-live/client/src/components/Card.tsx
+++ /dev/null
@@ -1,19 +0,0 @@
-export function Card({
- children,
- className,
-}: {
- children: React.ReactNode;
- className?: string;
-}) {
- return (
- - {GAME_TEXT.finalScore}: {score} -
-- {score} -
-- {GAME_TEXT.finalScoreMessage}{" "} - - {bestScore} - -
- -