| #!/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]: | |
| # In[5]: | |
| #/export | |
| learn = load_learner('model.pkl') | |
| # In[6]: | |
| # In[7]: | |
| #/export | |
| categories = ('Dog', 'Cat') | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| # In[8]: | |
| # 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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| # In[13]: | |
| # # Exporting | |
| # In[15]: | |
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