# Khmer ASR + TTS API — Hugging Face Spaces (Docker Space, CPU)
FROM python:3.10-slim

# System libs: libsndfile for soundfile, ffmpeg for librosa decoding,
# espeak-ng in case the TTS text frontend needs it, git for hub downloads.
RUN apt-get update && apt-get install -y --no-install-recommends \
    libsndfile1 \
    ffmpeg \
    espeak-ng \
    git \
    && rm -rf /var/lib/apt/lists/*

# HF Spaces runs containers as user 1000
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    HF_HOME=/home/user/.cache/huggingface \
    OUTPUT_DIR=/home/user/outputs

WORKDIR /home/user/app

# CPU-only torch first (much smaller image than the default CUDA wheels)
RUN pip install --no-cache-dir --user \
    torch==2.2.2 torchaudio==2.2.2 \
    --index-url https://download.pytorch.org/whl/cpu

COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt

COPY --chown=user main.py .

RUN mkdir -p /home/user/outputs /home/user/.cache/huggingface

# HF Spaces expects the app on port 7860
EXPOSE 7860
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]