README.md

metadata

title: HNTAI - Medical Data Extraction API
emoji: 📉
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false

HNTAI - Medical Data Extraction API

This is a Flask-based API for extracting and processing medical data from various document formats.

Features

• Document text extraction (PDF, DOCX, Images)
• Audio transcription
• Medical data extraction
• PHI (Protected Health Information) scrubbing
• Text summarization

Deployment on Hugging Face Spaces

• Uses Docker for deployment
• All models and data are cached in /tmp
• Optimized for memory usage
• Auto-retries for model loading
• Proper error handling

Environment Variables

All necessary environment variables are pre-configured for Hugging Face Spaces deployment.

API Endpoints

• POST /upload - Upload and process medical documents
• POST /transcribe - Transcribe audio files
• POST /extract_medical_data - Extract structured medical data
• POST /api/generate_summary - Generate text summaries
• POST /api/extract_medical_data_from_audio - Process audio recordings

For more details, check the API documentation.