Create app.py

app.py

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+import gradio as gr
+import os
+
+def inference(image):
+    os.system("python -m openpifpaf.predict "+image.name+" --checkpoint=shufflenetv2k30-wholebody --line-width=2  -o out.jpg")
+    return "out.jpg"
+
+
+title = "Keypoint Communities"
+description = "Gradio demo for Keypoint Communities. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"
+
+gr.Interface(
+    inference, 
+    gr.inputs.Image(type="file", label="Input"), 
+    gr.outputs.Image(type="file", label="Output"),
+    title=title,
+    description=description,
+    article=article,
+    enable_queue=True
+    ).launch(debug=True)