# HuggingFace Spaces Dockerfile
# Uses cpu-only torch to avoid CUDA dependency on HF free tier
FROM python:3.11-slim

# System dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgles2 \
    libegl1 \
    git \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Install Python deps
COPY requirements_hf.txt .
RUN pip install --no-cache-dir -r requirements_hf.txt

# Pre-download Whisper model at build time (avoids cold-start delay)
RUN python -c "import whisper; whisper.load_model('base')"

# Copy project
COPY . .

# HuggingFace Spaces expects port 7860
ENV PORT=7860
EXPOSE 7860

# HuggingFace Spaces: use HF_DEPLOYMENT env var to disable Ollama
ENV HF_DEPLOYMENT=1

CMD ["streamlit", "run", "app/main.py", \
     "--server.port=7860", \
     "--server.address=0.0.0.0", \
     "--server.headless=true", \
     "--browser.gatherUsageStats=false"]