master-brain-api / Dockerfile
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# Use the official Python 3.10 slim image
FROM python:3.10-slim
# Set proper timezone or environment parameters if needed
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PORT=7860
# Set the working directory directly to /app
WORKDIR /app
# Copy the requirements file and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the current directory contents into the container at /app
COPY . .
# Ensure the instance and uploads folder exist and have given permissions
RUN mkdir -p uploads instance \
&& chmod -R 777 uploads instance \
&& chmod -R 777 /app
# Expose the standard Hugging Face Spaces port
EXPOSE 7860
# Set the entrypoint to run the database setup and then launch gunicorn
CMD python -c "from server import app, db; app.app_context().push(); db.create_all()" && gunicorn --bind 0.0.0.0:$PORT --workers 2 --threads 4 --timeout 120 server:app