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#!/usr/bin/env python
# coding: utf-8
# ## Dogs v Cats
# In[32]:
#/default_exp app
# In[1]:
get_ipython().system('pip install gradio')
# In[2]:
#/export
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
# In[3]:
im = PILImage.create('dog.jpg')
im.thumbnail((192,192))
im
# In[5]:
#/export
learn = load_learner('model.pkl')
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learn.predict(im)
# In[7]:
#/export
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
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classify_image(im)
# In[10]:
#/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)
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m = learn.model
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ps = list(m.parameters())
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ps[1]
# # Exporting
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get_ipython().system('pip install nbdev')
# In[ ]:
# In[34]:
import nbdev
#nbdev.export.nb_export('Dogs v Cats.ipynb', 'app')
nbdev.export.nb_export('Dogs v Cats.ipynb', './')
print('Export successful')
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