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title: Lung Cancer Prediction API
emoji: 🫁
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
---
# Lung Cancer Prediction API
A FastAPI-based REST API for predicting lung cancer risk based on patient symptoms and characteristics.
## Features
- ✅ RESTful API endpoints
- ✅ Automatic Swagger/OpenAPI documentation
- ✅ Pydantic models for request validation
- ✅ CORS support for web applications
- ✅ Production-ready with error handling
## Hugging Face Spaces Deployment
This project is configured for deployment on Hugging Face Spaces using the Docker SDK.
### Deploy to Hugging Face
1. Create a new Space on [Hugging Face](https://huggingface.co/spaces)
2. Select **Docker** as the SDK
3. Push this repository to your Space
4. The API will be available at your Space URL
### API Endpoints
Once deployed, access your API at:
- **Swagger UI**: `https://your-space.hf.space/docs`
- **ReDoc**: `https://your-space.hf.space/redoc`
## API Endpoints
- `GET /` - API information
- `GET /status` - Check API status
- `POST /predict` - Predict lung cancer risk
## Request Format
```json
{
"gender": "M",
"age": 65,
"smoking": "YES",
"yellow_fingers": "NO",
"anxiety": "NO",
"peer_pressure": "NO",
"chronic_disease": "YES",
"fatigue": "YES",
"allergy": "NO",
"wheezing": "YES",
"alcohol": "NO",
"coughing": "YES",
"shortness_of_breath": "YES",
"swallowing_difficulty": "NO",
"chest_pain": "YES"
}
```
## Response Format
```json
{
"success": true,
"prediction": "YES",
"probability": 87.5,
"message": "Prediction: YES (Confidence: 87.50%)"
}
```
## Local Development
1. **Install dependencies:**
```bash
pip install -r requirements.txt
```
2. **Run the API:**
```bash
uvicorn main:app --reload --port 7860
```
3. **Access API documentation:**
- Swagger UI: http://localhost:7860/docs
- ReDoc: http://localhost:7860/redoc
## Notes
- This application is for educational/research purposes only
- Medical predictions should always be verified by healthcare professionals
- The model accuracy depends on the quality of the training data
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