# Use the official Python 3.9 image as the base image FROM python:3.9 # Expose the port EXPOSE 7860 # Keeps Python from generating .pyc files in the container ENV PYTHONDONTWRITEBYTECODE=1 # Turns off buffering for easier container logging ENV PYTHONUNBUFFERED=1 # Set the PYNGROK_CONFIG environment variable ENV PYNGROK_CONFIG /tmp/pyngrok.yml # Set the NGROK_PATH environment variable to a writable location ENV NGROK_PATH /tmp/ngrok # Copy requirements.txt into the container COPY requirements.txt . # Upgrade pip and install the required packages RUN pip install --upgrade pip && \ pip install -r requirements.txt # Install sudo and create the necessary directories before copying the files RUN apt-get update && \ apt-get install -y sudo && \ mkdir -p /code/image # Creates a non-root user with an explicit UID and adds permission to access the /code folder RUN adduser -u 5678 --disabled-password --gecos "" appuser && \ usermod -aG sudo appuser && \ usermod -aG root appuser && \ chown -R appuser:appuser /code # Create the pyngrok bin directory and set the ownership and permissions for appuser RUN mkdir -p /usr/local/lib/python3.9/site-packages/pyngrok/bin && \ chown -R appuser:appuser /usr/local/lib/python3.9/site-packages/pyngrok/bin && \ chmod -R 777 /usr/local/lib/python3.9/site-packages/pyngrok/bin RUN mkdir -p /.ngrok2 && \ chown -R appuser:appuser /.ngrok2 && \ chmod -R 777 /.ngrok2 RUN apt-get update && \ apt-get install -y curl # Set the working directory and copy the files WORKDIR /code # Set the ownership and permissions for the /code directory and its contents RUN chown -R appuser:appuser /code && \ chmod -R 777 /code COPY . /code # RUN chown -R appuser:appuser /code/data.csv && \ # chmod -R 777 /code/data.csv # Copy the pyngrok.yml configuration file COPY pyngrok.yml /tmp/pyngrok.yml # Set the TRANSFORMERS_CACHE environment variable to a cache directory inside /tmp ENV TRANSFORMERS_CACHE /tmp/transformers_cache ENV TORCH_HOME /tmp/torch_cache USER appuser # Start the application using pyngrok # CMD python main.py # Get the public IP address and display it RUN curl -s https://api.ipify.org | xargs echo "Public IP:" RUN pip install gunicorn # Start the Uvicorn server # ENTRYPOINT ["python", "main.py"] # CMD ["sh", "-c", "python main.py & sleep infinity"] CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860","--workers","2"]