#!/usr/bin/env python
# coding: utf-8

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

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

learn=load_learner('model (1).pkl')

categories =('Dog', 'Cat')

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

image =gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
# examples = ['/kaggle/input/dogjpg/dog.jpg', '/kaggle/input/catjpg/cat.jpg', '/kaggle/input/dogcatjpg/dogcat.jpg']

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


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

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