Create Dockerfile
Browse files- Dockerfile +62 -0
Dockerfile
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# Dockerfile
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# 1. Base Image: Python 3.10 on Debian (Bullseye for ffmpeg availability)
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# Using a slim image to keep the size down.
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FROM python:3.10-slim-bullseye
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# 2. Set Environment Variables
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ENV PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=off \
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PIP_DISABLE_PIP_VERSION_CHECK=on \
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PIP_DEFAULT_TIMEOUT=100 \
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# For Hugging Face cache inside the container (optional, models will download on first run)
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HF_HOME="/app/.huggingface_cache" \
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TRANSFORMERS_CACHE="/app/.huggingface_cache/transformers" \
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HUGGINGFACE_HUB_CACHE="/app/.huggingface_cache/hub"
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# 3. Install System Dependencies
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# - ffmpeg: for video processing
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# - git: in case any pip package needs to be installed from a git source
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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ffmpeg \
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git \
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curl \
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&& apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# 4. Set Working Directory
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WORKDIR /app
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# 5. Copy requirements.txt and Install Python Dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# 6. Copy Application Code and Secrets
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# First, copy the secrets file (if it exists and you intend to build it into the image)
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# WARNING: Building secrets into the image is generally NOT recommended for production.
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# Manage secrets via environment variables or Docker secrets/volume mounts at runtime.
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# This is included for completeness if you are managing it this way for development.
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COPY .streamlit/secrets.toml .streamlit/secrets.toml
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# Copy the rest of your application code
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COPY app.py .
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# If you have other Python modules or asset files, copy them as well:
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# COPY your_module.py .
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# COPY assets/ /app/assets/
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# 7. Create Hugging Face cache directory and set permissions (optional)
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# This helps if the user running the container is not root and needs to write to cache.
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RUN mkdir -p /app/.huggingface_cache && \
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chmod -R 777 /app/.huggingface_cache
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# 8. Expose Port for Streamlit
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EXPOSE 8501
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# 9. Healthcheck (Optional but recommended)
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl --fail http://localhost:8501/_stcore/health || exit 1
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# 10. Command to Run the Streamlit Application
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# The --server.address=0.0.0.0 makes the app accessible externally from the container.
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CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--logger.level=info"]
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