Spaces:
Sleeping
Sleeping
Aissugur Kurganbekov
Claude Opus 4.8
Add hybrid retrieval (TF-IDF + embeddings), OCR, A/B eval, and answer trust/UX
f65a6b3 | # Single-container image: FastAPI serves BOTH the built React app and the /api | |
| # backend on one port. Suited to Hugging Face Spaces and any one-port host. | |
| # docker build -t financeflow . | |
| # docker run -p 7860:7860 financeflow -> http://localhost:7860 | |
| # 1) Build the React/Vite frontend into static files. | |
| FROM node:20-alpine AS frontend | |
| WORKDIR /fe | |
| COPY frontend/package*.json ./ | |
| RUN npm ci | |
| COPY frontend/ ./ | |
| RUN npm run build | |
| # 2) Python backend that also serves those static files. | |
| FROM python:3.12-slim | |
| WORKDIR /app | |
| # System packages: tesseract-ocr powers the optional OCR fallback for scanned / | |
| # image-only PDFs (parsing.py). Without it the app still runs — OCR just no-ops — | |
| # but installing it lets scanned uploads be read. PyMuPDF/pytesseract come via pip. | |
| RUN apt-get update \ | |
| && apt-get install -y --no-install-recommends tesseract-ocr \ | |
| && rm -rf /var/lib/apt/lists/* | |
| COPY backend/requirements.txt ./requirements.txt | |
| # requirements.txt already pins flashrank (the reranker) and fastembed (the dense | |
| # embeddings for hybrid retrieval). Add the optional LLM SDKs too so "Thinking" | |
| # mode works when a key is provided. | |
| RUN pip install --no-cache-dir -r requirements.txt openai anthropic | |
| COPY backend/app ./app | |
| COPY sample_docs /sample_docs | |
| COPY --from=frontend /fe/dist ./static | |
| # Hugging Face Spaces runs the container as UID 1000; create that user and give | |
| # it ownership of the writable paths (the SQLite dir + sample docs). | |
| RUN useradd -m -u 1000 user \ | |
| && mkdir -p /app/data \ | |
| && chown -R user:user /app /sample_docs | |
| USER user | |
| ENV FRONTEND_DIR=/app/static | |
| EXPOSE 7860 | |
| CMD ["uvicorn", "app.server:root", "--host", "0.0.0.0", "--port", "7860"] | |