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| 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. | |