Hemoglobinopathy Analysis Platform

A comprehensive medical analysis platform for hemoglobinopathy detection that leverages advanced technologies for patient care and medical insights.

Features

• PDF/Image Analysis: Extract medical data from documents
• LLM-Powered Analysis: Advanced analysis using GPT-4o
• RAG-based Chatbot: Intelligent medical information assistant
• WhatsApp Integration: Patient communication system
• Interactive Visualizations: Medical history tracking and analysis
• Multi-format Export: CSV, JSON, and HTML report generation

Deployment Options

1. Replit Deployment (Recommended)

1. Fork this repository to your Replit account
2. Set up the following secrets in your Replit environment:
   • OPENAI_API_KEY: Your OpenAI API key
   • TWILIO_ACCOUNT_SID: Your Twilio account SID
   • TWILIO_AUTH_TOKEN: Your Twilio auth token
   • TWILIO_PHONE_NUMBER: Your Twilio WhatsApp number
3. Click the "Deploy" button in your Replit workspace

2. Azure Container Apps Deployment

1. Install Azure CLI and login:

   az login

2. Create Azure Container Registry:

   az acr create --name <registry-name> --resource-group <resource-group> --sku Basic
   az acr login --name <registry-name>

3. Build and push the Docker image:

   docker build -t hemoglobinopathy-analysis .
   docker tag hemoglobinopathy-analysis <registry-name>.azurecr.io/hemoglobinopathy-analysis
   docker push <registry-name>.azurecr.io/hemoglobinopathy-analysis

4. Create Azure Container App:

   az containerapp create \
     --name hemoglobinopathy-analysis \
     --resource-group <resource-group> \
     --image <registry-name>.azurecr.io/hemoglobinopathy-analysis \
     --target-port 5000 \
     --ingress external \
     --env-vars \
       OPENAI_API_KEY=<your-key> \
       TWILIO_ACCOUNT_SID=<your-sid> \
       TWILIO_AUTH_TOKEN=<your-token> \
       TWILIO_PHONE_NUMBER=<your-number> \
       DEPLOY_WHATSAPP_SERVER=true

5. Configure WhatsApp Webhook:

   • Get your Azure Container App URL from the Azure portal
   • In Twilio Console, set the WhatsApp webhook URL to: https://<your-app-url>/whatsapp

Environment Variables

Required environment variables:

• OPENAI_API_KEY: OpenAI API key for LLM analysis
• TWILIO_ACCOUNT_SID: Twilio account SID for WhatsApp integration
• TWILIO_AUTH_TOKEN: Twilio authentication token
• TWILIO_PHONE_NUMBER: Twilio WhatsApp number

Local Development

1. Clone the repository:

   git clone https://github.com/eehlss/microsoft-ai-app.git
   cd microsoft-ai-app

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.