Dockerfile

# Use the official Python image from the Docker Hub
FROM python:3.9

# Set environment variables
ENV TF_ENABLE_ONEDNN_OPTS=0
ENV TRANSFORMERS_CACHE=/code/.cache/huggingface/hub

# Set the working directory in the container
WORKDIR /code

# Create the 'images' directory and make it writable
RUN mkdir -p /code/images && \
    chmod -R 777 /code/images

# Copy the requirements file to the working directory
COPY ./requirements.txt /code/requirements.txt

# Install the dependencies including tf-keras
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Copy the rest of the application code to the working directory
COPY . .

# Ensure the cache directory exists and is writable
RUN mkdir -p /code/.cache/huggingface/hub && \
    chmod -R 777 /code/.cache/huggingface/hub

# Specify the command to run the application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]