from fastai.vision.all import *
import gradio as gr


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

learn = load_learner('cdmodel.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.jpg', 'cat.jpg']

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








# import gradio as gr

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

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