iammartian0 commited on
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68e639f
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1 Parent(s): e6609c2

Upload 6 files

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Files changed (5) hide show
  1. .gitattributes +1 -0
  2. app.py +14 -4
  3. cat_dog.jpg +3 -0
  4. modelcat_dog.pkl +3 -0
  5. tiger.jpg +0 -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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+ cat_dog.jpg filter=lfs diff=lfs merge=lfs -text
app.py CHANGED
@@ -1,7 +1,17 @@
 
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  import gradio as gr
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- def greet(name):
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- return "Hello " + name + "!!"
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- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
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+ from fastai.vision.all import *
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  import gradio as gr
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+ learn = load_learner('modelcat_dog.pkl')
 
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+ categories = ('Cat','Dog','Lion','None','Tiger','Wolf')
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+
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+ def classify_img(image):
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+ pred,idx,probs = learn.predict(image)
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+ return (dict(zip(categories,map(float,probs))))
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+
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+
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+ image = gr.inputs.Image(shape=(192,192))
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+ label = gr.outputs.Label()
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+ examples = ['cat.jpg','food.jpg','husky.jpg','tiger.jpg','cat_dog.jpg']
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+ intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
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+ intf.launch(inline=False)
cat_dog.jpg ADDED

Git LFS Details

  • SHA256: 37d9d88ac7982bdd8831eacbb34ccb5db915e600c7329247f223eb11519ff7d8
  • Pointer size: 132 Bytes
  • Size of remote file: 1.45 MB
modelcat_dog.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:45c38441d3c954c331dad15d42a7c692a426db0895c1f56dd76a0e83a66fafcc
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+ size 46967407
tiger.jpg ADDED