free-gpt-4-mini-API / Dockerfile
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# Use an official Python runtime as a parent image
FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Install necessary packages
RUN pip install --no-cache-dir flask requests
# Copy the requirements file (if you have one)
# COPY requirements.txt .
# Install any needed packages specified in requirements.txt
# RUN pip install --no-cache-dir -r requirements.txt
# Download the script from the private Hugging Face dataset
RUN apt-get update && apt-get install -y wget
RUN wget https://huggingface.co/datasets/qdqd/ddsg-api/resolve/main/api.py -O /app/api.py
# Make port 80 available to the world outside this container
EXPOSE 7860
# Define environment variable
ENV FLASK_APP=api.py
# Run the Flask application
CMD ["flask", "run", "--host=0.0.0.0", "--port=7860"]