wehub-resource-sync
72 lines
2.0 KiB
Markdown
72 lines
2.0 KiB
Markdown
# MCP-powered voice agent
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This project implements a voice agent that combines web search capabilities via Firecrawl with Supabase database operations through MCP (Model Context Protocol).
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## Installation
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Ensure you have Python 3.x installed and run:
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```bash
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pip install -r requirements.txt
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```
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## Implementation: agent.py
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This implementation uses AssemblyAI's services for speech-to-text, along with Firecrawl for web search and Supabase for database operations.
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### Requirements
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- Firecrawl API key
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- Supabase access token
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- OpenAI API key
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- AssemblyAI API key
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- LiveKit credentials
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### Setup
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Copy `.env.example` to `.env` and configure the following environment variables:
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```
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FIRECRAWL_API_KEY=your_firecrawl_api_key
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SUPABASE_ACCESS_TOKEN=your_supabase_token
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OPENAI_API_KEY=your_openai_api_key
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ASSEMBLYAI_API_KEY=your_assemblyai_api_key
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LIVEKIT_URL=your_livekit_url
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LIVEKIT_API_KEY=your_livekit_api_key
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LIVEKIT_API_SECRET=your_livekit_api_secret
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```
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### Running
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Start the agent using:
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```bash
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python agent.py
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```
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The agent will:
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1. Connect to LiveKit
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2. Initialize the MCP server for Supabase integration
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3. Set up voice interaction capabilities
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4. Start listening for user input
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## Features
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- Real-time web search using Firecrawl
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- Supabase database integration via MCP
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- Voice interaction capabilities:
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- Silero VAD (Voice Activity Detection)
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- AssemblyAI Speech-to-Text
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- OpenAI GPT-4 for language processing
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- OpenAI TTS for text-to-speech
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## 📬 Stay Updated with Our Newsletter!
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**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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## Contribution
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Contributions are welcome! Feel free to fork this repository and submit pull requests with your improvements.
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