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import gradio as gr
from fastai.vision.all import *
# def greet(name):
# return "Hello " + name + "!!"
im = PILImage.create('Cat.jpg')
categories = ('Dog','Cat')
learn = load_learner('model.pkl')
def is_cat(x):
return x[0].isupper()
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
# classify_image(im)
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']
intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False,share=True)
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch(share='True') |