wham / Dockerfile
orrp
Model into Docker
a0bbc38
FROM python:3.10-slim
COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
# 1. system dependencies
RUN apt-get update && apt-get install -y ffmpeg git build-essential && rm -rf /var/lib/apt/lists/*
WORKDIR /app
# 2. hf_hub
# This ensures changing your code doesn't trigger a re-download
RUN uv pip install --system huggingface_hub
# 3. Download weights
RUN mkdir -p /app/vampnet/models && \
python3 -c "from huggingface_hub import hf_hub_download; \
repo = 'ProjectCETI/wham'; \
[hf_hub_download(repo_id=repo, filename=f, local_dir='/app/vampnet/models') \
for f in ['codec.pth', 'coarse.pth', 'c2f.pth', 'wavebeat.pth']]"
# 4. Install project dependencies
COPY pyproject.toml .
RUN uv pip install --system .
# 5. copy code
COPY . .
EXPOSE 7860
ENV GRADIO_SERVER_NAME="0.0.0.0"
# Ensure we run from the root so imports like 'from vampnet' work
CMD ["python", "vampnet/app.py"]