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

def label_func(fname):
    return "cat" if fname.name[0].isupper() else "dog"

learn=load_learner('/content/drive/MyDrive/model.plk')

categories=('Dog','Cat')
def classify_image(img):
  pred,idx,prob=learn.predict(img)
  return dict(zip(categories,map(float,prob)))

intf=gr.Interface(fn=classify_image,inputs=gr.inputs.Image(shape=(225,225)),outputs=gr.outputs.Label())
intf.launch(inline=False)