added examples back
This commit is contained in:
161
examples/translation-chatbot/.gitignore
vendored
Normal file
161
examples/translation-chatbot/.gitignore
vendored
Normal file
@@ -0,0 +1,161 @@
|
||||
# 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
|
||||
14
examples/translation-chatbot/Dockerfile
Normal file
14
examples/translation-chatbot/Dockerfile
Normal file
@@ -0,0 +1,14 @@
|
||||
FROM python:3.10-bullseye
|
||||
|
||||
RUN mkdir /app
|
||||
RUN mkdir /app/utils
|
||||
COPY *.py /app/
|
||||
COPY requirements.txt /app/
|
||||
copy utils/* /app/utils/
|
||||
|
||||
WORKDIR /app
|
||||
RUN pip3 install -r requirements.txt
|
||||
|
||||
EXPOSE 7860
|
||||
|
||||
CMD ["python3", "server.py"]
|
||||
33
examples/translation-chatbot/README.md
Normal file
33
examples/translation-chatbot/README.md
Normal file
@@ -0,0 +1,33 @@
|
||||
# Translation Chatbot
|
||||
|
||||
<img src="image.png" width="420px">
|
||||
|
||||
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 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 translatorbot session.
|
||||
|
||||
## Build and test the Docker image
|
||||
|
||||
```
|
||||
docker build -t chatbot .
|
||||
docker run --env-file .env -p 7860:7860 chatbot
|
||||
```
|
||||
109
examples/translation-chatbot/bot.py
Normal file
109
examples/translation-chatbot/bot.py
Normal file
@@ -0,0 +1,109 @@
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import logging
|
||||
import os
|
||||
from typing import AsyncGenerator
|
||||
|
||||
from dailyai.pipeline.aggregators import (
|
||||
SentenceAggregator,
|
||||
)
|
||||
from dailyai.pipeline.frames import (
|
||||
Frame,
|
||||
LLMMessagesFrame,
|
||||
TextFrame,
|
||||
SendAppMessageFrame,
|
||||
)
|
||||
from dailyai.pipeline.frame_processor import FrameProcessor
|
||||
from dailyai.pipeline.pipeline import Pipeline
|
||||
from dailyai.transports.daily_transport import DailyTransport
|
||||
from dailyai.services.azure_ai_services import AzureTTSService
|
||||
from dailyai.services.open_ai_services import OpenAILLMService
|
||||
from dailyai.pipeline.aggregators import LLMFullResponseAggregator
|
||||
|
||||
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)
|
||||
|
||||
"""
|
||||
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):
|
||||
def __init__(self, language):
|
||||
self._language = language
|
||||
|
||||
async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
|
||||
if isinstance(frame, TextFrame):
|
||||
context = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": f"You will be provided with a sentence in English, and your task is to translate it into {self._language}.",
|
||||
},
|
||||
{"role": "user", "content": frame.text},
|
||||
]
|
||||
yield LLMMessagesFrame(context)
|
||||
else:
|
||||
yield frame
|
||||
|
||||
|
||||
class TranslationSubtitles(FrameProcessor):
|
||||
def __init__(self, language):
|
||||
self._language = language
|
||||
|
||||
async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
|
||||
if isinstance(frame, TextFrame):
|
||||
app_message = {
|
||||
"language": self._language,
|
||||
"text": frame.text
|
||||
}
|
||||
yield SendAppMessageFrame(app_message, None)
|
||||
yield frame
|
||||
else:
|
||||
yield frame
|
||||
|
||||
|
||||
async def main(room_url: str, token):
|
||||
async with aiohttp.ClientSession() as session:
|
||||
transport = DailyTransport(
|
||||
room_url,
|
||||
token,
|
||||
"Translator",
|
||||
duration_minutes=5,
|
||||
start_transcription=True,
|
||||
mic_enabled=True,
|
||||
mic_sample_rate=16000,
|
||||
camera_enabled=False,
|
||||
)
|
||||
tts = AzureTTSService(
|
||||
api_key=os.getenv("AZURE_SPEECH_API_KEY"),
|
||||
region=os.getenv("AZURE_SPEECH_REGION"),
|
||||
voice="es-ES-AlvaroNeural",
|
||||
)
|
||||
llm = OpenAILLMService(
|
||||
api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4-turbo-preview"
|
||||
)
|
||||
sa = SentenceAggregator()
|
||||
tp = TranslationProcessor("Spanish")
|
||||
lfra = LLMFullResponseAggregator()
|
||||
ts = TranslationSubtitles("spanish")
|
||||
pipeline = Pipeline([sa, tp, llm, lfra, ts, tts])
|
||||
|
||||
transport.transcription_settings["extra"]["endpointing"] = True
|
||||
transport.transcription_settings["extra"]["punctuate"] = True
|
||||
await transport.run(pipeline)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
(url, token) = configure()
|
||||
asyncio.run(main(url, token))
|
||||
5
examples/translation-chatbot/env.example
Normal file
5
examples/translation-chatbot/env.example
Normal file
@@ -0,0 +1,5 @@
|
||||
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...
|
||||
BIN
examples/translation-chatbot/image.png
Normal file
BIN
examples/translation-chatbot/image.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 544 KiB |
4
examples/translation-chatbot/requirements.txt
Normal file
4
examples/translation-chatbot/requirements.txt
Normal file
@@ -0,0 +1,4 @@
|
||||
python-dotenv
|
||||
requests
|
||||
fastapi[all]
|
||||
dailyai[daily,openai,azure]
|
||||
58
examples/translation-chatbot/runner.py
Normal file
58
examples/translation-chatbot/runner.py
Normal file
@@ -0,0 +1,58 @@
|
||||
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)
|
||||
127
examples/translation-chatbot/server.py
Normal file
127
examples/translation-chatbot/server.py
Normal file
@@ -0,0 +1,127 @@
|
||||
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,
|
||||
)
|
||||
109
examples/translation-chatbot/utils/daily_helpers.py
Normal file
109
examples/translation-chatbot/utils/daily_helpers.py
Normal file
@@ -0,0 +1,109 @@
|
||||
|
||||
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
|
||||
Reference in New Issue
Block a user