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| #!/usr/bin/env python | |
| # coding: utf-8 | |
| # In[5]: | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| # In[6]: | |
| learn = load_learner('petsmodel.pkl') | |
| # In[10]: | |
| cat = ('Dog', 'Cat') | |
| # In[11]: | |
| def classify_image(img): | |
| res, idx, prob = learn.predict(img) | |
| return dict(zip(cat, map(float, prob))) | |
| # In[14]: | |
| image = gr.inputs.Image(shape=(192, 192)) | |
| label = gr.outputs.Label() | |
| photos = ['dog.jpg', 'cat.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=photos) | |
| intf.launch(inline=False) | |