# Use the official Python image as the base image
FROM python:3.10

# Set the working directory in the container
WORKDIR /app

# Copy the current directory contents into the container at /app
COPY . /app

# Install any dependencies specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

ENV HF_HOME /tmp/huggingface


# Set the TRANSFORMERS_CACHE environment variable
#ENV TRANSFORMERS_CACHE /tmp/transformers_cache

# Create a directory for storing files if it doesn't exist
RUN mkdir -p riskclassification_finetuned_xlnet_model_ld

# Adjust permissions for the directory and its contents
RUN chmod -R 777 riskclassification_finetuned_xlnet_model_ld

# Expose the port that Flask runs on
EXPOSE 5000

# Define the command to run your Flask application
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "4", "--timeout", "300", "app:app"]