README.md

metadata

title: GP-Tea Symptom Checker
emoji: 🩺
colorFrom: green
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0

GP-Tea Symptom Checker Service

A FastAPI-based AI service for medical symptom analysis using XGBoost machine learning. This service analyzes user-selected symptoms and provides disease predictions with confidence scores.

Features

• 🩺 Symptom Analysis: Select from 297 medical symptoms for analysis
• 🤖 AI-Powered Predictions: XGBoost model trained on medical data
• 📊 Confidence Scoring: Get top 3 disease predictions with confidence percentages
• 🚀 Fast API: RESTful API with automatic documentation
• 🌐 CORS Enabled: Ready for web application integration
• 📋 Health Monitoring: Built-in health check endpoint

Local Development

# Install dependencies
pip install -r requirements.txt

# Run the service
uvicorn main:app --host 0.0.0.0 --port 7860 --reload

Make sure you're in the Text_classification directory

uvicorn main:app --host 0.0.0.0 --port 8002 --reload