| import gradio as gr | |
| from transformers import pipeline | |
| crop_pipe = pipeline("image-classification", model="LucyintheSky/pose-estimation-crop-uncrop") | |
| def classify(img): | |
| crop = crop_pipe(img) | |
| result = crop[0]['label'] + ' (' + int([0]['score']) * 100 + '%)' | |
| return result | |
| iface = gr.Interface(fn=classify, | |
| inputs=gr.Image(label='Image', type='filepath'), | |
| outputs=gr.Textbox(label='Output'), | |
| theme=gr.themes.Base(primary_hue=gr.themes.colors.pink, secondary_hue=gr.themes.colors.gray, neutral_hue=gr.themes.colors.slate, font=["avenir"])) | |
| iface.launch() |