app.py

# import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!"

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



from fastai import *
from fastai.vision.all import *

import gradio as gr 

def is_cat(x): return x[0].isupper()


learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))


image = gr.Image()
label = gr.Label()
examples = ['dog.jpeg', 'cat.jpeg', 'wot.jpeg']


intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)