wip - pcc-transport example
This commit is contained in:
157
examples/pcc-transport/README.md
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157
examples/pcc-transport/README.md
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# Simple Chatbot for Pipecat Cloud
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This project demonstrates how to build a complete Pipecat AI agent application with both client and server components. It includes a Next.js client for interacting with a Pipecat AI bot server through Daily.co's WebRTC transport.
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<img src="image.png" width="420px">
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## Project Overview
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- **Server**: Python-based Pipecat bot with video/audio processing capabilities
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- **Client**: Next.js TypeScript web application using the Pipecat React & JS SDKs
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- **Infrastructure**: Deployable to Pipecat Cloud (server) and Vercel (client)
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> See the [simple-chatbot example](https://github.com/pipecat-ai/pipecat/tree/main/examples/simple-chatbot) with different client and server implementations.
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## Quick Start
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### 1. Server Setup
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Navigate to the server directory:
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```bash
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cd server
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```
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Create and activate a virtual environment:
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```bash
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python3 -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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```
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Install requirements:
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```bash
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pip install -r requirements.txt
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```
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Copy env.example to .env and add your API keys:
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```bash
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cp env.example .env
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# Edit .env to add OPENAI_API_KEY and CARTESIA_API_KEY
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```
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Run the server locally to test before deploying:
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```bash
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LOCAL_RUN=1 python bot.py
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```
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This will open a browser window with a Daily.co room where you can test your bot directly.
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### 2. Client Setup
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In a separate terminal, navigate to the client directory:
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```bash
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cd client-react
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```
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Install dependencies:
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```bash
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npm install
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```
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Create `.env.local` file with your Pipecat Cloud API key:
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```bash
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cp env.local.example .env.local
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```
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> Create a Pipecat Cloud API key using the dashboard
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Start the development server:
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```bash
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npm run dev
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```
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Open [http://localhost:3000](http://localhost:3000) to interact with your agent through the Next.js client.
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## Deployment
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> See the [Pipecat Cloud Quickstart](https://docs.pipecat.daily.co/quickstart) for a complete walkthrough.
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### Deploy Server to Pipecat Cloud
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1. Install the Pipecat Cloud CLI:
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```bash
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pip install pipecatcloud
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```
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2. Authenticate:
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```bash
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pcc auth login
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```
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3. Build and push your Docker image:
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```bash
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cd server
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chmod +x build.sh
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./build.sh
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```
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> IMPORTANT: Before running this build script, you need to add your DOCKER_USERNAME
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4. Create a secret set for your API keys:
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```bash
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pcc secrets set simple-chatbot-secrets --file .env
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```
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5. Deploy to Pipecat Cloud:
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```bash
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pcc deploy
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```
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> IMPORTANT: Before deploying, you need to add your Docker Hub username
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### Deploy Client to Vercel
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1. Push your Next.js client to GitHub
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2. Connect your GitHub repository to Vercel
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3. Add your `PIPECAT_CLOUD_API_KEY` environment variable in Vercel
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4. Deploy with the Vercel dashboard or CLI
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## Project Structure
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```
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simple-chatbot/
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├── client-next/ # Next.js client application
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│ ├── src/
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│ │ ├── app/ # Next.js app routes
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│ │ │ └── api/
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│ │ │ └── connect/ # API endpoint for Daily.co connection
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│ │ ├── components/ # React components
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│ │ └── providers/ # React providers including RTVIProvider
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│ ├── package.json
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│ └── README.md # Client-specific documentation
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│
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└── server/ # Pipecat bot server
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├── assets/ # Robot animation frames
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├── bot.py # The Pipecat pipeline implementation
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├── Dockerfile # For building the container image
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├── build.sh # Script for building and pushing Docker image
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├── requirements.txt # Python dependencies
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├── pcc-deploy.toml # Pipecat Cloud deployment config
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└── README.md # Server-specific documentation
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```
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41
examples/pcc-transport/client-react/.gitignore
vendored
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41
examples/pcc-transport/client-react/.gitignore
vendored
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
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# dependencies
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/node_modules
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/.pnp
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.pnp.*
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.yarn/*
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!.yarn/patches
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!.yarn/plugins
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!.yarn/releases
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!.yarn/versions
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# testing
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/coverage
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# next.js
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/.next/
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/out/
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# production
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/build
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# misc
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.DS_Store
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*.pem
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# debug
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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.pnpm-debug.log*
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# env files (can opt-in for committing if needed)
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.env*
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# vercel
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.vercel
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# typescript
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*.tsbuildinfo
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next-env.d.ts
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33
examples/pcc-transport/client-react/README.md
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33
examples/pcc-transport/client-react/README.md
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# Simple Chatbot Client
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A Next.js application using TypeScript and the Pipecat React SDK to connect to a Pipecat AI agent.
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## Features
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- Next.js App Router architecture
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- TypeScript for type safety
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- RTVI client integration for real-time voice and video
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- Daily.co WebRTC transport
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- Custom API endpoint for Daily room creation
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## Getting Started
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1. Install dependencies:
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```bash
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npm install
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```
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2. Create `.env.local` file with your Pipecat Cloud API key:
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```
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PIPECAT_CLOUD_API_KEY=your_pipecat_cloud_key
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```
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3. Start the development server:
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```bash
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npm run dev
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```
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4. Open [http://localhost:3000](http://localhost:3000) in your browser
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1
examples/pcc-transport/client-react/env.local.example
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1
examples/pcc-transport/client-react/env.local.example
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PIPECAT_CLOUD_API_KEY=your_api_key_here
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16
examples/pcc-transport/client-react/eslint.config.mjs
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16
examples/pcc-transport/client-react/eslint.config.mjs
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import { dirname } from "path";
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import { fileURLToPath } from "url";
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import { FlatCompat } from "@eslint/eslintrc";
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = dirname(__filename);
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const compat = new FlatCompat({
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baseDirectory: __dirname,
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});
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const eslintConfig = [
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...compat.extends("next/core-web-vitals", "next/typescript"),
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];
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export default eslintConfig;
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7
examples/pcc-transport/client-react/next.config.ts
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7
examples/pcc-transport/client-react/next.config.ts
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import type { NextConfig } from "next";
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const nextConfig: NextConfig = {
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/* config options here */
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};
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export default nextConfig;
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5419
examples/pcc-transport/client-react/package-lock.json
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5419
examples/pcc-transport/client-react/package-lock.json
generated
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28
examples/pcc-transport/client-react/package.json
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28
examples/pcc-transport/client-react/package.json
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{
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"name": "my-nextjs-app",
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"version": "0.1.0",
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"private": true,
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"scripts": {
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"dev": "next dev",
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"build": "next build",
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"start": "next start",
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"lint": "next lint"
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},
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"dependencies": {
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"@pipecat-ai/client-js": "^0.3.5",
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"@pipecat-ai/client-react": "^0.3.5",
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"@pipecat-ai/daily-transport": "^0.3.7",
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"next": "15.2.3",
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"react": "^19.0.0",
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"react-dom": "^19.0.0"
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},
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"devDependencies": {
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"@eslint/eslintrc": "^3",
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"@types/node": "^20",
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"@types/react": "^19",
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"@types/react-dom": "^19",
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"eslint": "^9",
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"eslint-config-next": "15.2.3",
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"typescript": "^5"
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}
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}
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import { NextResponse, NextRequest } from 'next/server';
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export async function POST(request: NextRequest) {
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try {
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const { MY_CUSTOM_DATA } = await request.json();
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const response = await fetch(
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'https://api.pipecat.daily.co/v1/public/simple-chatbot/start',
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{
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method: 'POST',
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headers: {
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Authorization: `Bearer ${process.env.PIPECAT_CLOUD_API_KEY}`,
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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// Create Daily room
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createDailyRoom: true,
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// Optionally set Daily room properties
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dailyRoomProperties: { start_video_off: true },
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// Optionally pass custom data to the bot
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body: { MY_CUSTOM_DATA },
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}),
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}
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);
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if (!response.ok) {
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throw new Error(`API responded with status: ${response.status}`);
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}
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const data = await response.json();
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// Transform the response to match what RTVI client expects
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return NextResponse.json({
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room_url: data.dailyRoom,
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token: data.dailyToken,
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});
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} catch (error) {
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console.error('API error:', error);
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return NextResponse.json(
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{ error: 'Failed to start agent' },
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{ status: 500 }
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);
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}
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}
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82
examples/pcc-transport/client-react/src/app/globals.css
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82
examples/pcc-transport/client-react/src/app/globals.css
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body {
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margin: 0;
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padding: 20px;
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font-family: Arial, sans-serif;
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background-color: #f0f0f0;
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}
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.app {
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max-width: 1200px;
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margin: 0 auto;
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}
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.status-bar {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 10px;
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background-color: #fff;
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border-radius: 8px;
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margin-bottom: 20px;
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}
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.controls button {
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padding: 8px 16px;
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margin-left: 10px;
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border: none;
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border-radius: 4px;
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cursor: pointer;
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}
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button:disabled {
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opacity: 0.5;
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cursor: not-allowed;
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}
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.connect-btn {
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background-color: #4caf50;
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color: white;
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}
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.disconnect-btn {
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background-color: #f44336;
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color: white;
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}
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.main-content {
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background-color: #fff;
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border-radius: 8px;
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padding: 20px;
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margin-bottom: 20px;
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}
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.bot-container {
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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.video-container {
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width: 640px;
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height: 360px;
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background-color: #ddd;
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margin-bottom: 20px;
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border-radius: 8px;
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overflow: hidden;
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}
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.video-container video {
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width: 100%;
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height: 100%;
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object-fit: cover;
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}
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.mic-enabled {
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background-color: #4caf50;
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color: white;
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}
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.mic-disabled {
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background-color: #f44336;
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color: white;
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}
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21
examples/pcc-transport/client-react/src/app/layout.tsx
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21
examples/pcc-transport/client-react/src/app/layout.tsx
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import './globals.css';
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import { RTVIProvider } from '@/providers/RTVIProvider';
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export const metadata = {
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title: 'Pipecat React Client',
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description: 'Pipecat RTVI Client using Next.js',
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};
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export default function RootLayout({
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children,
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}: {
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children: React.ReactNode;
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}) {
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return (
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<html lang="en">
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<body>
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<RTVIProvider>{children}</RTVIProvider>
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</body>
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</html>
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||||
);
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}
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41
examples/pcc-transport/client-react/src/app/page.tsx
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41
examples/pcc-transport/client-react/src/app/page.tsx
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'use client';
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import {
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RTVIClientAudio,
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RTVIClientVideo,
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useRTVIClientTransportState,
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} from '@pipecat-ai/client-react';
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import { ConnectButton } from '../components/ConnectButton';
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import { StatusDisplay } from '../components/StatusDisplay';
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import { DebugDisplay } from '../components/DebugDisplay';
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function BotVideo() {
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const transportState = useRTVIClientTransportState();
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const isConnected = transportState !== 'disconnected';
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|
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return (
|
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<div className="bot-container">
|
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<div className="video-container">
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{isConnected && <RTVIClientVideo participant="bot" fit="cover" />}
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</div>
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||||
</div>
|
||||
);
|
||||
}
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||||
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||||
export default function Home() {
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||||
return (
|
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<div className="app">
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<div className="status-bar">
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<StatusDisplay />
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||||
<ConnectButton />
|
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</div>
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||||
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||||
<div className="main-content">
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<BotVideo />
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||||
</div>
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||||
|
||||
<DebugDisplay />
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<RTVIClientAudio />
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</div>
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||||
);
|
||||
}
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import {
|
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useRTVIClient,
|
||||
useRTVIClientTransportState,
|
||||
} from '@pipecat-ai/client-react';
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||||
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||||
export function ConnectButton() {
|
||||
const client = useRTVIClient();
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const transportState = useRTVIClientTransportState();
|
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const isConnected = ['connected', 'ready'].includes(transportState);
|
||||
|
||||
const handleClick = async () => {
|
||||
if (!client) {
|
||||
console.error('RTVI client is not initialized');
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
if (isConnected) {
|
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await client.disconnect();
|
||||
} else {
|
||||
await client.connect();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Connection error:', error);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="controls">
|
||||
<button
|
||||
className={isConnected ? 'disconnect-btn' : 'connect-btn'}
|
||||
onClick={handleClick}
|
||||
disabled={
|
||||
!client || ['connecting', 'disconnecting'].includes(transportState)
|
||||
}>
|
||||
{isConnected ? 'Disconnect' : 'Connect'}
|
||||
</button>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,26 @@
|
||||
.debug-panel {
|
||||
background-color: #fff;
|
||||
border-radius: 8px;
|
||||
padding: 20px;
|
||||
}
|
||||
|
||||
.debug-panel h3 {
|
||||
margin: 0 0 10px 0;
|
||||
font-size: 16px;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.debug-log {
|
||||
height: 200px;
|
||||
overflow-y: auto;
|
||||
background-color: #f8f8f8;
|
||||
padding: 10px;
|
||||
border-radius: 4px;
|
||||
font-family: monospace;
|
||||
font-size: 12px;
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.debug-log div {
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
@@ -0,0 +1,144 @@
|
||||
import { useRef, useCallback } from 'react';
|
||||
import {
|
||||
Participant,
|
||||
RTVIEvent,
|
||||
TransportState,
|
||||
TranscriptData,
|
||||
BotLLMTextData,
|
||||
} from '@pipecat-ai/client-js';
|
||||
import { useRTVIClient, useRTVIClientEvent } from '@pipecat-ai/client-react';
|
||||
import './DebugDisplay.css';
|
||||
|
||||
export function DebugDisplay() {
|
||||
const debugLogRef = useRef<HTMLDivElement>(null);
|
||||
const client = useRTVIClient();
|
||||
|
||||
const log = useCallback((message: string) => {
|
||||
if (!debugLogRef.current) return;
|
||||
|
||||
const entry = document.createElement('div');
|
||||
entry.textContent = `${new Date().toISOString()} - ${message}`;
|
||||
|
||||
// Add styling based on message type
|
||||
if (message.startsWith('User: ')) {
|
||||
entry.style.color = '#2196F3'; // blue for user
|
||||
} else if (message.startsWith('Bot: ')) {
|
||||
entry.style.color = '#4CAF50'; // green for bot
|
||||
}
|
||||
|
||||
debugLogRef.current.appendChild(entry);
|
||||
debugLogRef.current.scrollTop = debugLogRef.current.scrollHeight;
|
||||
}, []);
|
||||
|
||||
// Log transport state changes
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.TransportStateChanged,
|
||||
useCallback(
|
||||
(state: TransportState) => {
|
||||
log(`Transport state changed: ${state}`);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
// Log bot connection events
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.BotConnected,
|
||||
useCallback(
|
||||
(participant?: Participant) => {
|
||||
log(`Bot connected: ${JSON.stringify(participant)}`);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.BotDisconnected,
|
||||
useCallback(
|
||||
(participant?: Participant) => {
|
||||
log(`Bot disconnected: ${JSON.stringify(participant)}`);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
// Log track events
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.TrackStarted,
|
||||
useCallback(
|
||||
(track: MediaStreamTrack, participant?: Participant) => {
|
||||
log(
|
||||
`Track started: ${track.kind} from ${participant?.name || 'unknown'}`
|
||||
);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.TrackStopped,
|
||||
useCallback(
|
||||
(track: MediaStreamTrack, participant?: Participant) => {
|
||||
log(
|
||||
`Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`
|
||||
);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
// Log bot ready state and check tracks
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.BotReady,
|
||||
useCallback(() => {
|
||||
log(`Bot ready`);
|
||||
|
||||
if (!client) return;
|
||||
|
||||
const tracks = client.tracks();
|
||||
log(
|
||||
`Available tracks: ${JSON.stringify({
|
||||
local: {
|
||||
audio: !!tracks.local.audio,
|
||||
video: !!tracks.local.video,
|
||||
},
|
||||
bot: {
|
||||
audio: !!tracks.bot?.audio,
|
||||
video: !!tracks.bot?.video,
|
||||
},
|
||||
})}`
|
||||
);
|
||||
}, [client, log])
|
||||
);
|
||||
|
||||
// Log transcripts
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.UserTranscript,
|
||||
useCallback(
|
||||
(data: TranscriptData) => {
|
||||
// Only log final transcripts
|
||||
if (data.final) {
|
||||
log(`User: ${data.text}`);
|
||||
}
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
useRTVIClientEvent(
|
||||
RTVIEvent.BotTranscript,
|
||||
useCallback(
|
||||
(data: BotLLMTextData) => {
|
||||
log(`Bot: ${data.text}`);
|
||||
},
|
||||
[log]
|
||||
)
|
||||
);
|
||||
|
||||
return (
|
||||
<div className="debug-panel">
|
||||
<h3>Debug Info</h3>
|
||||
<div ref={debugLogRef} className="debug-log" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,11 @@
|
||||
import { useRTVIClientTransportState } from '@pipecat-ai/client-react';
|
||||
|
||||
export function StatusDisplay() {
|
||||
const transportState = useRTVIClientTransportState();
|
||||
|
||||
return (
|
||||
<div className="status">
|
||||
Status: <span>{transportState}</span>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,38 @@
|
||||
'use client';
|
||||
|
||||
import { RTVIClient } from '@pipecat-ai/client-js';
|
||||
import { DailyTransport } from '@pipecat-ai/daily-transport';
|
||||
import { RTVIClientProvider } from '@pipecat-ai/client-react';
|
||||
import { PropsWithChildren, useEffect, useState } from 'react';
|
||||
|
||||
const MY_CUSTOM_DATA = { foo: 'bar' };
|
||||
|
||||
export function RTVIProvider({ children }: PropsWithChildren) {
|
||||
const [client, setClient] = useState<RTVIClient | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
console.log('Setting up Transport and Client');
|
||||
const transport = new DailyTransport();
|
||||
|
||||
const rtviClient = new RTVIClient({
|
||||
transport,
|
||||
params: {
|
||||
baseUrl: '/api',
|
||||
endpoints: {
|
||||
connect: '/connect',
|
||||
},
|
||||
requestData: { MY_CUSTOM_DATA },
|
||||
},
|
||||
enableMic: true,
|
||||
enableCam: false,
|
||||
});
|
||||
|
||||
setClient(rtviClient);
|
||||
}, []);
|
||||
|
||||
if (!client) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return <RTVIClientProvider client={client}>{children}</RTVIClientProvider>;
|
||||
}
|
||||
28
examples/pcc-transport/client-react/tsconfig.json
Normal file
28
examples/pcc-transport/client-react/tsconfig.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2017",
|
||||
"lib": ["dom", "dom.iterable", "esnext"],
|
||||
"allowJs": true,
|
||||
"skipLibCheck": true,
|
||||
"strict": true,
|
||||
"noEmit": true,
|
||||
"esModuleInterop": true,
|
||||
"module": "esnext",
|
||||
"moduleResolution": "bundler",
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"jsx": "preserve",
|
||||
"incremental": true,
|
||||
"plugins": [
|
||||
{
|
||||
"name": "next"
|
||||
}
|
||||
],
|
||||
"paths": {
|
||||
"@/components/*": ["./src/components/*"],
|
||||
"@/providers/*": ["./src/providers/*"]
|
||||
}
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
|
||||
"exclude": ["node_modules"]
|
||||
}
|
||||
BIN
examples/pcc-transport/image.png
Normal file
BIN
examples/pcc-transport/image.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 733 KiB |
Reference in New Issue
Block a user