averageandyyy commited on
Commit
0921dad
·
1 Parent(s): 3514553
Files changed (6) hide show
  1. .gitattributes +1 -0
  2. app.py +29 -0
  3. bear.jpeg +0 -0
  4. blackbear.jpg +0 -0
  5. model.pkl +3 -0
  6. requirements.txt +1 -0
.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ model.pkl filter=lfs diff=lfs merge=lfs -text
app.py ADDED
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+ # AUTOGENERATED! DO NOT EDIT! File to edit: Bear Classifier (model uploaded).ipynb.
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+
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+ # %% auto 0
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+ __all__ = ['model', 'categories', 'image', 'label', 'examples', 'intf', 'classify_images']
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+
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+ # %% Bear Classifier (model uploaded).ipynb 1
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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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+ # %% Bear Classifier (model uploaded).ipynb 3
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+ model = load_learner('model.pkl')
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+
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+ # %% Bear Classifier (model uploaded).ipynb 5
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+ categories = ("black", "grizzly", "teddy")
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+
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+ def classify_images(img):
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+ pred,idx,probs = model.predict(img)
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+ return dict(zip(categories, map(float,probs)))
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+
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+ classify_images(im)
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+
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+ # %% Bear Classifier (model uploaded).ipynb 6
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+ image = gr.inputs.Image(shape=(192, 192))
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+ label = gr.outputs.Label()
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+ examples = ['blackbear.jpg', 'bear.jpeg']
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+
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+ intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)
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+
bear.jpeg ADDED
blackbear.jpg ADDED
model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ea74d3db0b48cc44dcc2b3135771f1b8df36417658c8132d8f9140c9bc34227f
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+ size 46961487
requirements.txt ADDED
@@ -0,0 +1 @@
 
 
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+ fastai