added examples back

This commit is contained in:
Jon Taylor
2024-05-13 17:09:46 +01:00
parent 27ba50cbbf
commit f1c02f8554
154 changed files with 7918 additions and 1287 deletions

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examples/simple-chatbot/.gitignore vendored Normal file
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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"]

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# Simple Chatbot
<img src="image.png" width="420px">
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
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 env
source env/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/start` 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
```

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import asyncio
import aiohttp
import logging
import os
from PIL import Image
from typing import AsyncGenerator
from dailyai.pipeline.aggregators import (
LLMAssistantResponseAggregator,
LLMUserResponseAggregator,
)
from dailyai.pipeline.frames import (
ImageFrame,
SpriteFrame,
Frame,
LLMMessagesFrame,
AudioFrame,
PipelineStartedFrame,
TTSEndFrame,
)
from dailyai.services.ai_services import AIService
from dailyai.pipeline.pipeline import Pipeline
from dailyai.transports.daily_transport import DailyTransport
from dailyai.services.open_ai_services import OpenAILLMService
from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
from runner import configure
from dotenv import load_dotenv
load_dotenv(override=True)
logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
logger = logging.getLogger("dailyai")
logger.setLevel(logging.DEBUG)
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(img.tobytes())
flipped = sprites[::-1]
sprites.extend(flipped)
# When the bot isn't talking, show a static image of the cat listening
quiet_frame = ImageFrame(sprites[0], (1024, 576))
talking_frame = SpriteFrame(images=sprites)
class TalkingAnimation(AIService):
"""
This class starts a talking animation when it receives an first AudioFrame,
and then returns to a "quiet" sprite when it sees a LLMResponseEndFrame.
"""
def __init__(self):
super().__init__()
self._is_talking = False
async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
if isinstance(frame, AudioFrame):
if not self._is_talking:
yield talking_frame
yield frame
self._is_talking = True
else:
yield frame
elif isinstance(frame, TTSEndFrame):
yield quiet_frame
yield frame
self._is_talking = False
else:
yield frame
class AnimationInitializer(AIService):
def __init__(self):
super().__init__()
async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
if isinstance(frame, PipelineStartedFrame):
yield quiet_frame
yield frame
else:
yield frame
async def main(room_url: str, token):
async with aiohttp.ClientSession() as session:
transport = DailyTransport(
room_url,
token,
"Chatbot",
duration_minutes=5,
start_transcription=True,
mic_enabled=True,
mic_sample_rate=16000,
camera_enabled=True,
camera_width=1024,
camera_height=576,
vad_enabled=True,
)
tts = ElevenLabsTTSService(
aiohttp_session=session,
api_key=os.getenv("ELEVENLABS_API_KEY"),
voice_id="pNInz6obpgDQGcFmaJgB",
)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
model="gpt-4-turbo-preview")
ta = TalkingAnimation()
ai = AnimationInitializer()
pipeline = Pipeline([ai, llm, tts, ta])
messages = [
{
"role": "system",
"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.",
},
]
@transport.event_handler("on_first_other_participant_joined")
async def on_first_other_participant_joined(transport, participant):
print(f"!!! in here, pipeline.source is {pipeline.source}")
await pipeline.queue_frames([LLMMessagesFrame(messages)])
async def run_conversation():
await transport.run_interruptible_pipeline(
pipeline,
post_processor=LLMAssistantResponseAggregator(messages),
pre_processor=LLMUserResponseAggregator(messages),
)
transport.transcription_settings["extra"]["endpointing"] = True
transport.transcription_settings["extra"]["punctuate"] = True
await asyncio.gather(transport.run(), run_conversation())
if __name__ == "__main__":
(url, token) = configure()
asyncio.run(main(url, token))

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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)
DAILY_API_KEY=7df...
OPENAI_API_KEY=sk-PL...
ELEVENLABS_API_KEY=aeb...

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python-dotenv
requests
fastapi[all]
uvicorn
dailyai[daily,openai]

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import argparse
import os
import time
import urllib
import requests
def configure():
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.")
# Create a meeting token for the given room with an expiration 1 hour in
# the future.
room_name: str = urllib.parse.urlparse(url).path[1:]
expiration: float = time.time() + 60 * 60
res: requests.Response = requests.post(
f"https://api.daily.co/v1/meeting-tokens",
headers={
"Authorization": f"Bearer {key}"},
json={
"properties": {
"room_name": room_name,
"is_owner": True,
"exp": expiration}},
)
if res.status_code != 200:
raise Exception(
f"Failed to create meeting token: {res.status_code} {res.text}")
token: str = res.json()["token"]
return (url, token)

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import os
import argparse
import subprocess
import atexit
from pathlib import Path
from typing import Optional
from fastapi import FastAPI, Request, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse, JSONResponse, RedirectResponse
from utils.daily_helpers import create_room as _create_room, get_token, get_name_from_url
MAX_BOTS_PER_ROOM = 1
# Bot sub-process dict for status reporting and concurrency control
bot_procs = {}
def cleanup():
# Clean up function, just to be extra safe
for proc in bot_procs.values():
proc.terminate()
proc.wait()
atexit.register(cleanup)
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/start")
async def start_agent(request: Request):
print(f"!!! Creating room")
room_url, room_name = _create_room()
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 = 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,
)

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import urllib.parse
import os
import time
import urllib
import requests
from dotenv import load_dotenv
load_dotenv()
daily_api_path = os.getenv("DAILY_API_URL") or "api.daily.co/v1"
daily_api_key = os.getenv("DAILY_API_KEY")
def create_room() -> tuple[str, str]:
"""
Helper function to create a Daily room.
# See: https://docs.daily.co/reference/rest-api/rooms
Returns:
tuple: A tuple containing the room URL and room name.
Raises:
Exception: If the request to create the room fails or if the response does not contain the room URL or room name.
"""
room_props = {
"exp": time.time() + 60 * 60, # 1 hour
"enable_chat": True,
"enable_emoji_reactions": True,
"eject_at_room_exp": True,
"enable_prejoin_ui": False, # Important for the bot to be able to join headlessly
}
res = requests.post(
f"https://{daily_api_path}/rooms",
headers={"Authorization": f"Bearer {daily_api_key}"},
json={
"properties": room_props
},
)
if res.status_code != 200:
raise Exception(f"Unable to create room: {res.text}")
data = res.json()
room_url: str = data.get("url")
room_name: str = data.get("name")
if room_url is None or room_name is None:
raise Exception("Missing room URL or room name in response")
return room_url, room_name
def get_name_from_url(room_url: str) -> str:
"""
Extracts the name from a given room URL.
Args:
room_url (str): The URL of the room.
Returns:
str: The extracted name from the room URL.
"""
return urllib.parse.urlparse(room_url).path[1:]
def get_token(room_url: str) -> str:
"""
Retrieves a meeting token for the specified Daily room URL.
# See: https://docs.daily.co/reference/rest-api/meeting-tokens
Args:
room_url (str): The URL of the Daily room.
Returns:
str: The meeting token.
Raises:
Exception: If no room URL is specified or if no Daily API key is specified.
Exception: If there is an error creating the meeting token.
"""
if not room_url:
raise Exception(
"No Daily room specified. You must specify a Daily room in order a token to be generated.")
if not daily_api_key:
raise Exception(
"No Daily API key specified. set DAILY_API_KEY in your environment to specify a Daily API key, available from https://dashboard.daily.co/developers.")
expiration: float = time.time() + 60 * 60
room_name = get_name_from_url(room_url)
res: requests.Response = requests.post(
f"https://{daily_api_path}/meeting-tokens",
headers={
"Authorization": f"Bearer {daily_api_key}"},
json={
"properties": {
"room_name": room_name,
"is_owner": True, # Owner tokens required for transcription
"exp": expiration}},
)
if res.status_code != 200:
raise Exception(
f"Failed to create meeting token: {res.status_code} {res.text}")
token: str = res.json()["token"]
return token