Dockerfile

# Use Python 3.10 for compatibility
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    libopenblas-dev \
    libomp-dev \
    && rm -rf /var/lib/apt/lists/*

# Create cache directories on /data and matplotlib config dir
RUN mkdir -p \
    /data/.huggingface \
    /data/.cache/huggingface/datasets \
    /data/.cache/huggingface/transformers \
    /tmp/matplotlib \
    && chmod -R 777 /data /tmp/matplotlib

# Clean any old Hugging Face caches (defensive)
RUN rm -rf \
    /root/.cache/huggingface \
    /root/.cache/huggingface_hub \
    /root/.cache/huggingface/datasets || true

# Set cache environment variables to point at /data
ENV HF_HOME=/data/.huggingface
ENV HF_HUB_CACHE=/data/.cache/huggingface/hub
ENV HF_DATASETS_CACHE=/data/.cache/huggingface/datasets
ENV TRANSFORMERS_CACHE=/data/.cache/huggingface/transformers
ENV MPLCONFIGDIR=/tmp/matplotlib

# Copy requirements file
COPY requirements.txt /app/requirements.txt

# Install dependencies
RUN pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt

# Install PyTorch separately for compatibility
RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

# Copy application files
COPY . /app

# Expose Flask app port
EXPOSE 7860

# Run the application
CMD ["python", "main.py"]