CibeleGoudinho commited on
Commit
ee1fd2e
1 Parent(s): d1f79cf
Files changed (4) hide show
  1. app.py +21 -0
  2. rainy_sky.jpg +0 -0
  3. requirements.txt +1 -0
  4. sunny_sky.jpg +0 -0
app.py ADDED
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+ import warnings
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+ from fastai.vision.all import *
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+ import gradio as gr
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+
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+ warnings.simplefilter("ignore", category=UserWarning)
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+ learn = load_learner('model.pkl')
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+ warnings.resetwarnings()
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+
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+ categories = ('Ensolarado', 'Chuvoso')
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+
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+ def classify_image(img):
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+ _, _, probs = learn.predict(img)
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+ return dict(zip(categories, map(float, probs)))
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+
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+ image = gr.Image()
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+ label = gr.Label()
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+
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+ examples = ['sunny_sky.jpg', 'rainy_sky.jpg']
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+
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+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)
rainy_sky.jpg ADDED
requirements.txt ADDED
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+ fastai==2.7.12
sunny_sky.jpg ADDED