mirror of
https://github.com/onestardao/WFGY.git
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44 lines
1.4 KiB
Docker
44 lines
1.4 KiB
Docker
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#######################################################################
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# Dockerfile — WFGY SDK 1-click inference container (CPU by default) #
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# • Build on Hugging-Face Spaces, Colab, or local Docker Desktop. #
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# • Size ≈ 250 MB compressed (Python 3.10-slim + torch-cpu). #
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# • Optional GPU: uncomment the four CUDA lines below. #
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#######################################################################
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# ---------- CPU base (unchanged) ----------
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FROM python:3.10-slim
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# ---------- OPTIONAL GPU base (comment out to stay CPU-only) ----------
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# FROM nvidia/cuda:12.4.0-runtime-ubuntu22.04
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WORKDIR /app
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COPY . /app
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# ----------- deps ------------------------------------------------------
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# torch==2.1.2+cpu → 60 MB wheel
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# if you built with CUDA base, replace with cuXX wheel
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RUN pip install --no-cache-dir -e . \
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gradio==4.28.1 \
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transformers==4.38.2 \
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torch==2.1.2+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
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EXPOSE 7860
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CMD ["python", "gradio_app.py"]
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```
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### How to build & run locally
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```bash
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docker build -t wfgy-demo .
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docker run -p 7860:7860 wfgy-demo
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open http://localhost:7860
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```
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The image is still **slim, fast, and Space-compatible**.
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If a user wants CUDA, they only need to switch the `FROM` line and the
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wheel URL—no other changes.
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---
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