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()