| # ☁️ Dockerfile for Hugging Face Spaces — Cloud-Only (Lightweight) | |
| # Image size: ~500MB (no Ollama, no local models) | |
| # All LLM inference is handled by Groq API and HF Inference API via USE_HF_CLOUD=1 | |
| FROM python:3.11-slim | |
| # Prevent Python from writing pyc files and buffering stdout/stderr | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| ENV PYTHONUNBUFFERED=1 | |
| # Cloud mode: all LLM calls go to Groq / HF Inference — no local Ollama needed | |
| ENV USE_HF_CLOUD=1 | |
| # Install system dependencies (Tesseract for OCR fallback only) | |
| RUN apt-get update && apt-get install -y \ | |
| curl \ | |
| zstd \ | |
| tesseract-ocr \ | |
| libtesseract-dev \ | |
| gcc \ | |
| libpq-dev \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| # Install Python dependencies | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir --upgrade pip && \ | |
| pip install --no-cache-dir -r requirements.txt && \ | |
| pip install --no-cache-dir llama-index-llms-huggingface-api huggingface_hub | |
| # Copy application code | |
| COPY . . | |
| # Hugging Face Spaces requires port 7860 | |
| EXPOSE 7860 | |
| # Fix line endings and permissions on startup script | |
| RUN sed -i 's/\r$//' start_hf.sh && chmod +x start_hf.sh | |
| CMD ["./start_hf.sh"] |