Dockerfile

# Use Python 3.9
FROM python:3.9

# Set working directory to /code
WORKDIR /code

# Copy the requirements file
COPY ./requirements.txt /code/requirements.txt

# Install system dependencies (needed for OpenCV/EasyOCR and building packages)
RUN apt-get update && apt-get install -y \
    build-essential \
    python3-dev \
    libgl1 \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Install dependencies
# We use the CPU-only version of PyTorch to reduce image size
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r /code/requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu

# Copy the application code
COPY ./main.py /code/main.py

# Create a directory for cache (needed for Transformers/Hugging Face models)
# and give it correct permissions
RUN mkdir -p /code/.cache && chmod -R 777 /code/.cache
ENV TRANSFORMERS_CACHE=/code/.cache

# Expose port 7860 (Hugging Face default)
EXPOSE 7860

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