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#!/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() |