app.py

import gradio as gr
from fastai.vision.all import *
# def greet(name):
#     return "Hello " + name + "!!"

learn = load_learner('mig_or_su.pkl')

labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}


examples = ['mig.jpg', 'su.jpg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs="image", outputs="label", title="Mig-29 or Su-27", examples=examples, interpretation=interpretation, enable_queue=enable_queue).launch()


# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()