Update examples README
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Mark Backman
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@@ -31,9 +31,6 @@ MANIFEST
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fly.toml
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# Examples
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examples/telnyx-chatbot/templates/streams.xml
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examples/twilio-chatbot/templates/streams.xml
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examples/plivo-chatbot/templates/streams.xml
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examples/**/node_modules/
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examples/**/.expo/
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examples/**/dist/
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@@ -1,88 +1,31 @@
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# Pipecat Examples
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This directory contains examples to help you learn how to build with Pipecat.
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# Pipecat — Examples
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## Getting Started
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## Foundational snippets
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Small snippets that build on each other, introducing one or two concepts at a time.
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New to Pipecat? Start here:
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➡️ [Take a look](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational)
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- **[Quickstart](quickstart/)** - Get your first voice AI bot running in 5 minutes _(coming soon)_
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- **[Client/Server Web](client-server-web/)** - Learn to build web applications with Pipecat's client SDKs _(coming soon)_
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- **[Phone Bot with Twilio](phone-bot-twilio/)** - Connect your bot to a phone number _(coming soon)_
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## Chatbot examples
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Collection of self-contained real-time voice and video AI demo applications built with Pipecat.
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## Foundational Examples
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### Quickstart
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Single-file examples that introduce core Pipecat concepts one at a time. These examples:
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Each project has its own set of dependencies and configuration variables. They intentionally avoids shared code across projects — you can grab whichever demo folder you want to work with as a starting point.
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- Build on each other progressively
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- Focus on specific features or integrations
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- Are used for testing with every Pipecat release
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We recommend you start with a virtual environment:
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See the **[Foundational Examples README](foundational/)** for the complete list.
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```shell
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cd pipecat-ai/examples/simple-chatbot
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## More Advanced Examples
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python -m venv venv
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Ready to explore complex use cases? Visit **[pipecat-examples](https://github.com/pipecat-ai/pipecat-examples)** for:
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source venv/bin/activate
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pip install -r requirements.txt
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```
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Next, follow the steps in the README for each demo.
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ℹ️ Make sure you `pip install -r requirements.txt` for each demo project, so you can be sure to have the necessary service dependencies that extend the functionality of Pipecat. You can read more about the framework architecture [here](https://github.com/pipecat-ai/pipecat/tree/main/docs).
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## Projects:
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| Project | Description | Services |
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|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------|
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| [Simple Chatbot](simple-chatbot) | Basic voice-driven conversational bot. A good starting point for learning the flow of the framework. | Deepgram, ElevenLabs, OpenAI, Daily, Daily Prebuilt UI |
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| [Storytelling Chatbot](storytelling-chatbot) | Stitches together multiple third-party services to create a collaborative storytime experience. | Deepgram, ElevenLabs, OpenAI, Fal, Daily, Custom UI |
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| [Translation Chatbot](translation-chatbot) | Listens for user speech, then translates that speech to Spanish and speaks the translation back. Demonstrates multi-participant use-cases. | Deepgram, Azure, OpenAI, Daily, Daily Prebuilt UI |
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| [Moondream Chatbot](moondream-chatbot) | Demonstrates how to add vision capabilities to GPT4. **Note: works best with a GPU** | Deepgram, ElevenLabs, OpenAI, Moondream, Daily, Daily Prebuilt UI |
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| [Patient intake](patient-intake) | A chatbot that can call functions in response to user input. | Deepgram, ElevenLabs, OpenAI, Daily, Daily Prebuilt UI |
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| [Phone Chatbot](phone-chatbot) | A chatbot that connects to PSTN/SIP phone calls, powered by Daily or Twilio. | Deepgram, ElevenLabs, OpenAI, Daily, Twilio |
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| [Twilio Chatbot](twilio-chatbot) | A chatbot that connects to an incoming phone call from Twilio. | Deepgram, ElevenLabs, OpenAI, Daily, Twilio |
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| [studypal](studypal) | A chatbot to have a conversation about any article on the web | |
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| [WebSocket Chatbot Server](websocket-server) | A real-time websocket server that handles audio streaming and bot interactions with speech-to-text and text-to-speech capabilities. | Cartesia, Deepgram, OpenAI, Websockets |
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> [!IMPORTANT]
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> These example projects use Daily as a WebRTC transport and can be joined using their hosted Prebuilt UI.
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> It provides a quick way to join a real-time session with your bot and test your ideas without building any frontend code. If you'd like to see an example of a custom UI, try Storybot.
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## FAQ
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### Deployment
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For each of these demos we've included a `Dockerfile`. Out of the box, this should provide everything needed to get the respective demo running on a VM:
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```shell
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docker build username/app:tag .
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docker run -p 7860:7860 --env-file ./.env username/app:tag
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docker push ...
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```
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### SSL
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If you're working with a custom UI (such as with the Storytelling Chatbot), it's important to ensure your deployment platform supports HTTPS, as accessing user devices such as mics and webcams requires SSL.
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If you try to run a custom UI without SSL, you may see an error in the console telling you that `navigator` is undefined, or no devices are available.
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### Are these examples production ready?
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Yes, kind of.
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These demos attempt to keep things simple and are unopinionated regarding environment or scalability.
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We're using FastAPI to spawn a subprocess for the bots / agents — useful for small tests, but not so great for production grade apps with many concurrent users. You can see how this works in each project's `start` endpoint in `server.py`.
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Creating virtualized worker pools and on-demand instances is out of scope for these examples, but we hope to add some examples to this repo soon!
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For projects that have CUDA as a requirement, such as Moondream Chatbot, be sure to deploy to a GPU-powered platform (such as [fly.io](https://fly.io) or [Runpod](https://runpod.io).)
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## Getting help
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➡️ [Join our Discord](https://discord.gg/pipecat)
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➡️ [Reach us on Twitter](https://x.com/pipecat_ai)
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- Production-ready applications
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- Multi-platform client implementations
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- Telephony integrations
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- Multimodal and creative applications
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- Deployment and monitoring examples
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