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Tobias Czempiel commited on
Commit
8a1eaec
•
1 Parent(s): 3533c69

added examples

Browse files
Files changed (13) hide show
  1. .DS_Store +0 -0
  2. README.md +1 -1
  3. images/.DS_Store +0 -0
  4. images/akiec.jpg +0 -0
  5. images/bcc.jpg +0 -0
  6. images/bkl.jpg +0 -0
  7. images/df.jpg +0 -0
  8. images/mel.jpg +0 -0
  9. images/mel2.jpg +0 -0
  10. images/mel3.jpg +0 -0
  11. images/nv.jpg +0 -0
  12. images/nv2.jpg +0 -0
  13. runSDSdemo.py +1 -1
.DS_Store CHANGED
Binary files a/.DS_Store and b/.DS_Store differ
 
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 😻
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  colorFrom: purple
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  colorTo: pink
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  sdk: gradio
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- app_file: app.py
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  pinned: false
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  license: afl-3.0
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  ---
 
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  colorFrom: purple
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  colorTo: pink
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  sdk: gradio
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+ app_file: runSDSdemo.py
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  pinned: false
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  license: afl-3.0
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  ---
images/.DS_Store ADDED
Binary file (6.15 kB). View file
 
images/akiec.jpg ADDED
images/bcc.jpg ADDED
images/bkl.jpg ADDED
images/df.jpg ADDED
images/mel.jpg ADDED
images/mel2.jpg ADDED
images/mel3.jpg ADDED
images/nv.jpg ADDED
images/nv2.jpg ADDED
runSDSdemo.py CHANGED
@@ -91,6 +91,6 @@ gr.Interface(
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  fn=predict,
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  inputs=gr.inputs.Image(),
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  outputs=[gr.outputs.Label(label="Predict Result"), gr.outputs.Textbox(type="str", label="Recommendation"), gr.outputs.Image(label="GradCAM")],
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- examples=[['sample1.png'],['sample2.jpg'],['sample3.jpg']],
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  title="Skin Lesion Classifier"
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  ).launch()
 
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  fn=predict,
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  inputs=gr.inputs.Image(),
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  outputs=[gr.outputs.Label(label="Predict Result"), gr.outputs.Textbox(type="str", label="Recommendation"), gr.outputs.Image(label="GradCAM")],
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+ examples=[['images/akiec.jpg'],['images/bcc.jpg'],['images/bkl.jpg'],['images/df.jpg'],['images/mel.jpg'],['images/mel2.jpg'],['images/mel3.jpg'],['images/nv.jpg'],['images/nv2.jpg']],
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  title="Skin Lesion Classifier"
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  ).launch()