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@ -202,7 +202,6 @@ A collection of delicious docker recipes.
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- [x] django-cms
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- [x] django-cms
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- [x] dokuwiki :+1:
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- [x] dokuwiki :+1:
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- [x] gogs-arm :cn:
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- [x] gogs-arm :cn:
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- [x] gradio
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- [x] hugo
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- [x] hugo
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- [x] hugo-arm
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- [x] hugo-arm
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- [x] jamapi
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- [x] jamapi
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@ -1,13 +0,0 @@
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#
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# Dockerfile for gradio
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#
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FROM python:3.12-slim
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ENV GRADIO_SERVER_NAME="0.0.0.0"
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RUN pip install --no-cache-dir gradio
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EXPOSE 7860
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ENTRYPOINT ["python"]
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@ -1,17 +0,0 @@
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gradio
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======
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[Gradio][1] is the fastest way to demo your machine learning model with a
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friendly web interface so that anyone can use it, anywhere!
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## up and running
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```bash
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$ docker compose up -d
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$ open http://127.0.0.1:7860
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```
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More demos can be found [here][2].
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[1]: https://www.gradio.app/
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[2]: https://www.gradio.app/playground
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@ -1,9 +0,0 @@
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#!/usr/bin/env python
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!"
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demo = gr.Interface(fn=greet, inputs="text", outputs="text", allow_flagging="never")
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demo.launch()
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@ -1,10 +0,0 @@
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version: "3.8"
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services:
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gradio:
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image: vimagick/gradio
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command: app.py
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ports:
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- "7860:7860"
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volumes:
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- ./data:/data
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working_dir: /data
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