BeRu / Dockerfile
BeRU Deployer
Deploy BeRU Streamlit RAG System - Add app, models logic, configs, and optimizations for HF Spaces
dec533d
FROM python:3.10-slim
WORKDIR /app
# Install system dependencies (for PDF processing, OCR, etc.)
RUN apt-get update && apt-get install -y \
build-essential \
git \
libpoppler-cpp-dev \
poppler-utils \
tesseract-ocr \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY down.py .
COPY frontend.html .
COPY vlm2rag2.py .
COPY check_user.py .
# include the Streamlit demo as an alternative entrypoint
COPY app.py .
# Create necessary directories
RUN mkdir -p /app/.cache /app/models /app/VLM2Vec-V2rag3
# Expose HF Spaces default port
EXPOSE 7860
# by default the image will run the FastAPI server; to start the Streamlit UI
to test locally you can override the command:
# docker run -p7860:7860 <image> streamlit run app.py --server.port=7860
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV HF_HUB_DISABLE_SYMLINKS_WARNING=1
# default paths used by down.py (can be overridden at runtime)
ENV MODEL_DIR=/app/models
ENV LLM_MODEL_PATH=/app/models/Mistral-7B-Instruct-v0.3
ENV EMBED_MODEL_PATH=/app/models/VLM2Vec-Qwen2VL-2B
ENV FAISS_INDEX_PATH=/app/VLM2Vec-V2rag3
# Run FastAPI app on port 7860
CMD ["python", "down.py", "--port", "7860"]