app.py

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:  a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation. 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/2110.00988' target='_blank'>Keypoint Communities</a> | <a href='https://github.com/DuncanZauss/Keypoint_Communities' target='_blank'>Github Repo</a></p>"

examples=[['soccer.jpeg']]

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,
    examples=examples
    ).launch(debug=True)