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pipecat-ai-small-webrtc-prebuilt
Advanced tools
A simple, ready-to-use client for testing the SmallWebRTCTransport.
A simple, ready-to-use client for testing the SmallWebRTCTransport.
This prebuilt client provides basic WebRTC functionality and serves as a lightweight tool to quickly verify transport behavior without needing a custom implementation.
Ideal for development, debugging, and quick prototyping.
If you just want to use the prebuilt WebRTC client in your own Python project:
pip install pipecat-ai-small-webrtc-prebuilt
from fastapi import FastAPI
from fastapi.responses import RedirectResponse
from pipecat_ai_small_webrtc_prebuilt.frontend import SmallWebRTCPrebuiltUI
app = FastAPI()
# Mount the frontend at /prebuilt
app.mount("/prebuilt", SmallWebRTCPrebuiltUI)
@app.get("/", include_in_schema=False)
async def root_redirect():
return RedirectResponse(url="/prebuilt/")
Want to see it in action? Check out our sample app demonstrating how to use this module:
git clone https://github.com/your-org/small-webrtc-prebuilt.git
Create and activate a virtual environment:
cd small-webrtc-prebuilt
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
Install dependencies:
pip install -r requirements.txt
./scripts/prepare_dist.sh
Upload to TestPyPI using twine
twine upload --repository testpypi dist/*
Uninstall previous production version
pip uninstall pipecat-ai-small-webrtc-prebuilt
Test using pip to download packages from TestPyPI instead of PyPI
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ pipecat-ai-small-webrtc-prebuilt
Double check version
pip list |grep pipecat-ai-small-webrtc-prebuilt
Run test...
Once you are happy, publish it to production.
twine upload dist/*
Profit.
FAQs
A simple, ready-to-use client for testing the SmallWebRTCTransport.
We found that pipecat-ai-small-webrtc-prebuilt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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