Dockerfile

# Use official PyTorch image (CPU+CUDA ready)
FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime

# Set working directory
WORKDIR /app

# Avoid Python buffering issues
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/app/huggingface
ENV HF_HUB_OFFLINE=0

# Install system dependencies
RUN apt-get update && apt-get install -y git curl wget && rm -rf /var/lib/apt/lists/*

# Install Python packages
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy app
COPY . .

# Expose Streamlit port
EXPOSE 8501

# Command to run Streamlit
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]