SuperKartPredictorUI / Dockerfile
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# Use a minimal base image with Python 3.9 installed
FROM python:3.10.11-slim
# Set the working directory inside the container to /app
WORKDIR /app
# Copy all files from the current directory on the host to the container's /app directory
COPY . .
# Install Python dependencies listed in requirements.txt
RUN pip3 install --no-cache-dir -r requirements.txt
ENV PORT=7860
EXPOSE 7860
ENV HOME=/app
# Define the command to run the Streamlit app on port 8501 and make it accessible externally
# NOTE: Disable XSRF protection for easier external access in order to make batch predictions
CMD streamlit run app.py --server.port=$PORT --server.address=0.0.0.0 --server.headless=true --server.enableXsrfProtection=false --browser.gatherUsageStats=false