# Use a lightweight Python base image
FROM python:3.10-slim

# Set environment variables for HuggingFace Transformers cache
    
ENV HF_HOME=/tmp/hf-cache \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1
    
# Set working directory inside the container
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Copy only requirements first to leverage Docker layer caching
COPY requirements.txt .

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

# Copy the rest of the application code
COPY . .

# Create cache directory (if not created by app itself)
#RUN mkdir -p /app/cache

# Expose FastAPI's default port
EXPOSE 7860

# Run the FastAPI app with Uvicorn
CMD ["uvicorn", "app.app:app", "--host", "0.0.0.0", "--port", "7860"]