Spaces:
Sleeping
Sleeping
| title: TranscriptorAI Enhanced | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| hardware: cpu-basic | |
| # TranscriptorAI Enhanced - HuggingFace Spaces Edition | |
| Enterprise-grade transcript analysis with AI-powered insights. | |
| ## β οΈ Important Notes for Spaces Users | |
| 1. **Process 1-3 transcripts at a time** to avoid timeouts | |
| 2. **Set your HuggingFace token** in Space secrets: | |
| - Go to Settings β Repository secrets | |
| - Add: `HUGGINGFACE_TOKEN` = your token | |
| - Get token at: https://huggingface.co/settings/tokens | |
| 3. **Expected processing time**: 30-60 seconds per transcript | |
| ## Usage | |
| 1. Upload 1-3 transcript files (.txt, .docx, or .pdf) | |
| 2. Select interviewee type (HCP/Patient/Other) | |
| 3. Click "Analyze" | |
| 4. Wait 30-60 seconds | |
| 5. Download CSV and PDF reports | |
| ## Features | |
| - β Automated transcript analysis | |
| - β Structured data extraction | |
| - β Quality scoring | |
| - β Cross-transcript synthesis | |
| - β PDF/CSV/HTML reports | |
| - β Data tables and visualizations | |
| ## Optimizations for Spaces | |
| - Uses HuggingFace Inference API (no local model loading) | |
| - Lightweight Mistral-7B model | |
| - Reduced token requirements | |
| - Aggressive timeout protection | |
| - Queue system for stability | |
| For more information, visit: [GitHub Repository](#) | |