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#!/usr/bin/env python
# coding: utf-8
# Dogs vs Cats
# In[7]:
#|export
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
# In[9]:
#|export
learn = load_learner('model.pkl')
# In[12]:
#|export
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
#|export
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False, share=True)
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