Spaces:
Sleeping
Sleeping
File size: 1,658 Bytes
b27b7d7 3f538a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | ---
title: Epigen WhatsApp Webhook
emoji: 🧬
colorFrom: green
colorTo: blue
sdk: docker
sdk_version: 3.9
app_file: app.py
pinned: false
---
# Epigen WhatsApp Webhook
A webhook server for the Epigen WhatsApp integration. This service processes incoming WhatsApp messages using Google's Gemini AI model and responds with information about Epigen products and services.
## Features
- Processes incoming WhatsApp messages via Green API
- Generates AI responses using Google's Gemini model
- Maintains conversation history for personalized interactions
- Provides health check and monitoring endpoints
## Technical Stack
- **Flask**: Web framework for handling HTTP requests
- **Uvicorn**: ASGI server for running the Flask application
- **Google Generative AI**: AI model for generating responses
- **Green API**: WhatsApp integration provider
## Deployment
This application is designed to be deployed as a Docker container and is compatible with:
- Hugging Face Spaces
- AWS Elastic Beanstalk
- Google Cloud Run
- Any Docker-compatible cloud platform
## Local Development
1. Clone the repository
2. Create a `.env` file with the required API keys
3. Install dependencies: `pip install -r requirements.txt`
4. Run the application: `python app.py`
## Environment Variables
- `GREEN_API_ID`: Your Green API instance ID
- `GREEN_API_TOKEN`: Your Green API API token
- `GOOGLE_API_KEY`: Your Google API key for Gemini access
- `PORT`: The port to run the server on (default: 7860)
## API Endpoints
- `GET /`: Home page showing server status
- `GET /health`: Health check endpoint
- `GET/POST /webhook`: Main webhook endpoint for WhatsApp integration
|