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tutorial2
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#!/usr/bin/env python
# coding: utf-8

# In[8]:





# In[ ]:


#|export
from fastai.vision.all import *
import gradio as gr

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


# In[10]:





# In[11]:


#|export
learn = load_learner('model.pkl')


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#|export
categories = ('Dog', 'Cat')

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


# In[14]:





# In[15]:


#|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)