joseluistorres commited on
Commit
aeed9eb
·
1 Parent(s): e491b5f

another test

Browse files
Files changed (2) hide show
  1. README.md +1 -1
  2. app.py +5 -11
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 👁
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  colorFrom: purple
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  colorTo: red
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  sdk: gradio
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- sdk_version: 4.16.0
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
 
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  colorFrom: purple
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  colorTo: red
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  sdk: gradio
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+ sdk_version: 3.50.2
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
app.py CHANGED
@@ -1,25 +1,19 @@
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- __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
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-
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- # Cell
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  from fastai.vision.all import *
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  import gradio as gr
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- import timm
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- # Cell
 
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  learn = load_learner('model.pkl')
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- # Cell
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- categories = learn.dls.vocab
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  def classify_image(img):
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  pred,idx,probs = learn.predict(img)
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  return dict(zip(categories, map(float,probs)))
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- # Cell
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  image = gr.inputs.Image(shape=(192, 192))
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  label = gr.outputs.Label()
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- examples = ['dog.jpg']
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- # Cell
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  intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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- intf.launch()
 
 
 
 
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  from fastai.vision.all import *
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  import gradio as gr
 
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+ def is_cat(x): return x[0].isupper()
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+
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  learn = load_learner('model.pkl')
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+ categories = ('Dog', 'Cat')
 
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  def classify_image(img):
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  pred,idx,probs = learn.predict(img)
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  return dict(zip(categories, map(float,probs)))
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  image = gr.inputs.Image(shape=(192, 192))
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  label = gr.outputs.Label()
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+ examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
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  intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)