| # EmpathRAG — Slim runtime dependencies |
| # |
| # These are the packages the live Gradio demo and the Hugging Face Space |
| # actually import at runtime. For the full training/baseline stack |
| # (RoBERTa, DeBERTa, Mistral, FAISS, etc.), use requirements-dev.txt. |
|
|
| # Demo UI |
| gradio==4.44.1 |
|
|
| # gradio 4.44.1 still imports HfFolder, which was removed in huggingface_hub 1.0. |
| # Pin to the 0.x line so the resolver does not pull 1.x from the HF Spaces base |
| # image (which installs huggingface_hub>=0.30 with no upper bound). |
| huggingface_hub>=0.30,<1.0 |
|
|
| # Pydantic 2.11+ emits JSON schemas with `additionalProperties: true` (boolean), |
| # which the gradio_client 1.3.0 bundled with gradio 4.44.1 cannot parse — it |
| # crashes with "TypeError: argument of type 'bool' is not iterable" the first |
| # time the API info endpoint is hit. Pinning to 2.10.6 keeps schemas as dicts. |
| pydantic==2.10.6 |
|
|
| # Starlette 1.0 dropped the old `TemplateResponse(name, context)` positional |
| # signature in favor of `TemplateResponse(request, name, context)`. Gradio |
| # 4.44.1 still calls the old signature, so the context dict gets passed as |
| # the template name and jinja2 raises "unhashable type: 'dict'". Pin both |
| # fastapi and starlette to versions matching what gradio 4.44.1 was tested on. |
| fastapi==0.115.5 |
| starlette==0.41.3 |
|
|
| # Hybrid route classifier (TF-IDF + logistic regression). |
| # Loose lower bounds so the resolver picks wheels compatible with the |
| # Python version configured in the README YAML (currently 3.10). |
| scikit-learn>=1.3,<2.0 |
| scipy>=1.11,<2.0 |
| numpy>=1.26,<3.0 |
|
|
| # Tabular utilities |
| pandas>=2.0,<3.0 |
|
|
| # Support-plan PDF export (uses bundled DejaVu font for Unicode) |
| fpdf2==2.8.4 |
| matplotlib>=3.7,<4.0 |
|
|
| # Local development convenience (.env loading) |
| python-dotenv>=1.0 |
|
|
| # HTTP client (Groq + Anthropic API calls) |
| requests>=2.31 |
|
|
| # Progress bars (used by some scripts) |
| tqdm>=4.67 |
|
|
