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Browse files- Dockerfile +25 -0
Dockerfile
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# Start with an official Python base image.
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# Using a "slim" version is a good practice for smaller container sizes.
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FROM python:3.11-slim
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# Set the working directory inside the container.
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WORKDIR /app
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# Copy the requirements file into the container.
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COPY requirements.txt .
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# Install the Python dependencies.
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# The `--no-cache-dir` flag is a best practice for smaller Docker images.
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of your application code into the container.
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COPY . .
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# Expose the port that the application will run on.
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# Hugging Face Spaces automatically provides a PORT variable, typically 7860.
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# FastAPI will run on this port inside the container.
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EXPOSE 7860
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# The command to run your application when the container starts.
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# We use Gunicorn as a robust production server.
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CMD ["gunicorn", "-w", "1", "--preload", "-k", "uvicorn.workers.UvicornWorker", "-b", "0.0.0.0:7860", "main:app"]
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