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https://huggingface.co/spaces/dineshb/DocuChat_AI/resolve/main/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/dineshb/DocuChat_AI/resolve/main/Dockerfile
1.01 kB
| # 1. Use an official lightweight Python image | |
| FROM python:3.10-slim | |
| # 2. Set the working directory inside the container | |
| WORKDIR /app | |
| # 3. Install system dependencies for FAISS and PDF processing | |
| RUN apt-get update && apt-get install -y \ | |
| build-essential \ | |
| curl \ | |
| software-properties-common \ | |
| git \ | |
| tesseract-ocr \ | |
| poppler-utils \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # 4. Copy only requirements first to leverage Docker caching | |
| COPY requirements.txt . | |
| # 5. Install Python dependencies | |
| RUN pip3 install --no-cache-dir -r requirements.txt | |
| # 6. Copy the rest of your application code | |
| COPY . . | |
| # 7. Create the temporary directory for document uploads | |
| RUN mkdir -p temp_docs && chmod 777 temp_docs | |
| # 8. Expose the default Streamlit port | |
| EXPOSE 8501 | |
| # 9. Healthcheck to ensure the app is running | |
| HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health | |
| # 10. Start the application | |
| ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"] | |