examples: add daily-multi-translation
This commit is contained in:
15
examples/daily-multi-translation/Dockerfile
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15
examples/daily-multi-translation/Dockerfile
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FROM python:3.10-bullseye
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RUN mkdir /app
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RUN mkdir /app/assets
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RUN mkdir /app/utils
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COPY *.py /app/
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COPY requirements.txt /app/
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WORKDIR /app
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RUN pip3 install -r requirements.txt
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EXPOSE 7860
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CMD ["python3", "server.py"]
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39
examples/daily-multi-translation/README.md
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39
examples/daily-multi-translation/README.md
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# Daily Multi Translation
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This example shows how to use Daily to stream multiple simultaneous translations using a single transport. Daily provides custom tracks and in this example we will simultaneously translate incoming audio in English to Spanish, French and German, each of them being sent to a custom track.
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## Get started
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```python
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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cp env.example .env # and add your credentials
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```
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## Run the server
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```bash
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python server.py
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```
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Then, visit `http://localhost:7860/` in your browser. This will open a Daily Prebuilt room where you will speak in English (make sure you are not muted).
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## Open client
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Next, you need to open the client that will listen to the translations.
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```bash
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open index.html
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```
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Once the client is opened, copy the URL of the Daily room created above and join it. You should be able to select which translation you want to hear.
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## Build and test the Docker image
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```
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docker build -t daily-multi-translation .
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docker run --env-file .env -p 7860:7860 daily-multi-translation
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```
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164
examples/daily-multi-translation/bot.py
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164
examples/daily-multi-translation/bot.py
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#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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import os
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import sys
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from runner import configure
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from pipecat.audio.mixers.soundfile_mixer import SoundfileMixer
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver
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from pipecat.pipeline.parallel_pipeline import ParallelPipeline
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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load_dotenv(override=True)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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BACKGROUND_SOUND_FILE = "office-ambience-mono-16000.mp3"
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async def main():
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async with aiohttp.ClientSession() as session:
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(room_url, token) = await configure(session)
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transport = DailyTransport(
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room_url,
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token,
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"Multi translation bot",
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DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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audio_out_mixer={
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"spanish": SoundfileMixer(
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sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
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),
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"french": SoundfileMixer(
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sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
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),
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"german": SoundfileMixer(
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sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
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),
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},
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audio_out_destinations=["spanish", "french", "german"],
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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tts_spanish = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="cefcb124-080b-4655-b31f-932f3ee743de",
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destination="spanish",
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)
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tts_french = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="8832a0b5-47b2-4751-bb22-6a8e2149303d",
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destination="french",
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)
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tts_german = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="38aabb6a-f52b-4fb0-a3d1-988518f4dc06",
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destination="german",
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)
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messages_spanish = [
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{
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"role": "system",
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"content": "You will be provided with a sentence in English, and your task is to only translate it into Spanish.",
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},
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]
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messages_french = [
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{
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"role": "system",
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"content": "You will be provided with a sentence in English, and your task is to only translate it into French.",
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},
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]
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messages_german = [
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{
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"role": "system",
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"content": "You will be provided with a sentence in English, and your task is to only translate it into German.",
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},
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]
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llm_spanish = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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llm_french = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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llm_german = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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context_spanish = OpenAILLMContext(messages_spanish)
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context_aggregator_spanish = llm_spanish.create_context_aggregator(context_spanish)
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context_french = OpenAILLMContext(messages_french)
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context_aggregator_french = llm_french.create_context_aggregator(context_french)
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context_german = OpenAILLMContext(messages_german)
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context_aggregator_german = llm_german.create_context_aggregator(context_german)
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pipeline = Pipeline(
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[
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transport.input(), # Transport user input
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stt,
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ParallelPipeline(
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# Spanish pipeline.
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[
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context_aggregator_spanish.user(),
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llm_spanish,
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tts_spanish,
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context_aggregator_spanish.assistant(),
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],
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# French pipeline.
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[
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context_aggregator_french.user(),
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llm_french,
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tts_french,
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context_aggregator_french.assistant(),
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],
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# German pipeline.
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[
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context_aggregator_german.user(),
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llm_german,
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tts_german,
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context_aggregator_german.assistant(),
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],
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),
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transport.output(), # Transport bot output
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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audio_in_sample_rate=16000,
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audio_out_sample_rate=16000,
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allow_interruptions=True,
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enable_metrics=True,
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enable_usage_metrics=True,
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report_only_initial_ttfb=True,
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),
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observers=[TranscriptionLogObserver()],
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)
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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5
examples/daily-multi-translation/env.example
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examples/daily-multi-translation/env.example
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DAILY_SAMPLE_ROOM_URL=https://yourdomain.daily.co/yourroom # (for joining the bot to the same room repeatedly for local dev)
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DAILY_API_KEY=7df...
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OPENAI_API_KEY=sk-PL...
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DEEPGRAM_API_KEY=efb...
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CARTESIA_API_KEY=aeb...
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202
examples/daily-multi-translation/index.html
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examples/daily-multi-translation/index.html
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<html>
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<head>
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<title>video layers demo</title>
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</head>
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<script crossorigin src="https://unpkg.com/@daily-co/daily-js"></script>
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<script
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src="https://code.jquery.com/jquery-3.1.1.min.js"
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integrity="sha256-hVVnYaiADRTO2PzUGmuLJr8BLUSjGIZsDYGmIJLv2b8="
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crossorigin="anonymous"
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></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.js"></script>
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<link
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rel="stylesheet"
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type="text/css"
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href="https://cdnjs.cloudflare.com/ajax/libs/fomantic-ui/2.8.6/semantic.min.css"
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/>
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<script>
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function enableButton(buttonId, enable) {
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const button = document.getElementById(buttonId);
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button.disabled = !enable;
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}
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function enableJoinButton(enable) {
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enableButton("join-button", enable);
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}
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function enableLeaveButton(enable) {
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enableButton("leave-button", enable);
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}
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function destroyPlayers(query) {
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const items = document.querySelectorAll(query);
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if (items) {
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for (const item of items) {
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item.remove();
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}
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}
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}
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function destroyParticipantPlayers(participantId) {
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destroyPlayers(`video[data-participant-id="${participantId}"]`);
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destroyPlayers(`audio[data-participant-id="${participantId}"]`);
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destroyPlayers(`button[data-participant-id="${participantId}"]`);
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}
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async function startPlayer(player, track) {
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player.muted = false;
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player.autoplay = true;
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if (track != null) {
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player.srcObject = new MediaStream([track]);
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}
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}
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async function buildVideoPlayer(track, participantId) {
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const videoContainer = document.getElementById("video-container");
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const player = document.createElement("video");
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player.dataset.participantId = participantId;
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videoContainer.appendChild(player);
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await startPlayer(player, track);
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await player.play();
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return player;
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}
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async function buildAudioPlayer(track, participantId) {
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const audioContainer = document.getElementById("audio-container");
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const player = document.createElement("audio");
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player.dataset.participantId = participantId;
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// Create a new button for controlling audio
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const audioControlButton = document.createElement("button");
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audioControlButton.className = "ui primary green button"
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audioControlButton.innerText = track._mediaTag == "cam-audio" ? "english" : track._mediaTag;
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audioControlButton.dataset.participantId = participantId;
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audioControlButton.onclick = () => {
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if (player.paused) {
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player.play();
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audioControlButton.className = "ui primary red button"
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} else {
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player.pause();
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audioControlButton.className = "ui primary green button"
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}
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};
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audioContainer.appendChild(player);
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audioContainer.appendChild(audioControlButton);
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await startPlayer(player, track);
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player.pause()
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return player;
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}
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function subscribeToTracks(participantId) {
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console.log(`subscribing to track`);
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if (participantId === "local") {
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return;
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}
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callObject.updateParticipant(participantId, {
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setSubscribedTracks: {
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audio: true,
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video: true,
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custom: true,
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},
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});
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}
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function startDaily() {
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enableJoinButton(true);
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enableLeaveButton(false);
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window.callObject = window.DailyIframe.createCallObject({});
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callObject.on("participant-joined", (e) => {
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if (!e.participant.local) {
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console.log("participant-joined", e.participant);
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subscribeToTracks(e.participant.session_id);
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}
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});
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callObject.on("participant-left", (e) => {
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console.log("participant-left", e.participant.session_id);
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destroyParticipantPlayers(e.participant.session_id);
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});
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callObject.on("track-started", async (e) => {
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console.log("track-started", e.track);
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if (e.track.kind === "video") {
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await buildVideoPlayer(e.track, e.participant.session_id);
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} else if (e.track.kind === "audio") {
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await buildAudioPlayer(e.track, e.participant.session_id);
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}
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});
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}
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async function joinRoom() {
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enableJoinButton(false);
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enableLeaveButton(true);
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const meetingUrl = document.getElementById("meeting-url").value;
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callObject.join({
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url: meetingUrl,
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startVideoOff: true,
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startAudioOff: true,
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subscribeToTracksAutomatically: false,
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receiveSettings: {
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base: { video: { layer: 0 } },
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},
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});
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}
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async function leaveRoom() {
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enableJoinButton(true);
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enableLeaveButton(false);
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callObject.leave();
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const videoContainer = document.getElementById("video-container");
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videoContainer.replaceChildren();
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const audioContainer = document.getElementById("audio-container");
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audioContainer.replaceChildren();
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}
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</script>
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<body onload="startDaily()">
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<div class="ui centered page grid" style="margin-top: 30px">
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<div class="ten wide column">
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<div class="ui form" style="margin-top: 30px">
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<div class="field">
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<label>Meeting URL</label>
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<input id="meeting-url" value="" />
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</div>
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</div>
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</div>
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</div>
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<div class="ui centered aligned header" style="margin-top: 30px">
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<button id="join-button" class="ui primary button" onclick="joinRoom()">
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Join
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</button>
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<button id="leave-button" class="ui button" onclick="leaveRoom()">
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Leave
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</button>
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</div>
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<div id="tile" class="ui container" style="margin-top: 30px">
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<div id="tile" class="ui center aligned grid">
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<div id="audio-container"></div><br/>
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</div>
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</div>
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<div id="tile" class="ui container" style="margin-top: 30px">
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<div id="tile" class="ui center aligned grid">
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<div id="video-container" class="ui segment"></div>
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</div>
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</div>
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</body>
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</html>
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BIN
examples/daily-multi-translation/office-ambience-mono-16000.mp3
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BIN
examples/daily-multi-translation/office-ambience-mono-16000.mp3
Normal file
Binary file not shown.
5
examples/daily-multi-translation/requirements.txt
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5
examples/daily-multi-translation/requirements.txt
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aiofiles
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python-dotenv
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fastapi[all]
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uvicorn
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pipecat-ai[daily,deepgram,openai,silero,cartesia]
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56
examples/daily-multi-translation/runner.py
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56
examples/daily-multi-translation/runner.py
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#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
|
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#
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|
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import argparse
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import os
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import aiohttp
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from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper
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async def configure(aiohttp_session: aiohttp.ClientSession):
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parser = argparse.ArgumentParser(description="Daily AI SDK Bot Sample")
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parser.add_argument(
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"-u", "--url", type=str, required=False, help="URL of the Daily room to join"
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)
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parser.add_argument(
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"-k",
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"--apikey",
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type=str,
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required=False,
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help="Daily API Key (needed to create an owner token for the room)",
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)
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args, unknown = parser.parse_known_args()
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url = args.url or os.getenv("DAILY_SAMPLE_ROOM_URL")
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key = args.apikey or os.getenv("DAILY_API_KEY")
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if not url:
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raise Exception(
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"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."
|
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)
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if not key:
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raise Exception(
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"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."
|
||||
)
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daily_rest_helper = DailyRESTHelper(
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daily_api_key=key,
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daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
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||||
aiohttp_session=aiohttp_session,
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||||
)
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||||
|
||||
# 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)
|
||||
return (url, token)
|
||||
139
examples/daily-multi-translation/server.py
Normal file
139
examples/daily-multi-translation/server.py
Normal file
@@ -0,0 +1,139 @@
|
||||
#
|
||||
# Copyright (c) 2024–2025, 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,
|
||||
)
|
||||
Reference in New Issue
Block a user