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f467e83 1574efa 3dd9f34 f467e83 1574efa f467e83 3dd9f34 f467e83 1574efa f467e83 1574efa f467e83 2029657 1574efa 2029657 3dd9f34 1574efa 3dd9f34 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | FROM python:3.11-slim
# ffmpeg and deno are for the podcast module (yt-dlp converts audio and solves YouTube's JS challenges)
RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg && rm -rf /var/lib/apt/lists/*
COPY --from=denoland/deno:bin /deno /usr/local/bin/deno
# Hugging Face Spaces run the container as user 1000
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
HF_HOME=/home/user/.cache/huggingface \
PYTHONUNBUFFERED=1 \
CACHE_DIR=/home/user/cache
WORKDIR /home/user/app
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
# Bake both models and all voices into the image so a waking Space doesn't download them.
RUN python -c "from huggingface_hub import snapshot_download as d; d('hexgrad/Kokoro-82M'); d('hexgrad/Kokoro-82M-v1.1-zh')"
# Same for the Whisper model (change both this and the WHISPER_MODEL variable to use another size)
ARG WHISPER_MODEL=small
RUN python -c "from faster_whisper import download_model; download_model('${WHISPER_MODEL}')"
# app.py mounts the modules listed in MODULES: kokoro_tts.py (TTS), whisper_stt.py (STT), podcast.py (YouTube podcasts)
COPY --chown=user *.py ./
EXPOSE 7860
# Refresh yt-dlp on every start so YouTube changes don't break podcast downloads; keep going if offline.
CMD pip install --no-cache-dir --user -q -U "yt-dlp[default]" || true; exec python app.py
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