Hila commited on
Commit
1a33535
1 Parent(s): 7433a51

Change layout

Browse files
Files changed (1) hide show
  1. app.py +25 -2
app.py CHANGED
@@ -113,5 +113,28 @@ def _load_model(model_name: str):
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  model_finetuned.eval()
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  _load_model('ar_base.tar')
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- demo = gr.Interface(image_classifier, gr.inputs.Image(shape=(224,224)), [gr.outputs.Label(label="Our Classification", num_top_classes=3), gr.Image(label="Our Relevance",shape=(64,64)), gr.outputs.Label(label="Original Classification", num_top_classes=3), gr.Image(label="Original Relevance",shape=(64,64))],examples=["samples/augreg_base/tank.png", "samples/augreg_base/sundial.png", "samples/augreg_base/lizard.png", "samples/augreg_base/storck.png", "samples/augreg_base/hummingbird2.png", "samples/augreg_base/hummingbird.png"], capture_session=True, css=r'#2 {width:224px !important}; #4 {width:224px !important}')
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- demo.launch(debug=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  model_finetuned.eval()
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  _load_model('ar_base.tar')
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+ #demo = gr.Interface(image_classifier, gr.inputs.Image(shape=(224,224)), [gr.outputs.Label(label="Our Classification", num_top_classes=3), gr.Image(label="Our Relevance",shape=(64,64)), gr.outputs.Label(label="Original Classification", num_top_classes=3), gr.Image(label="Original Relevance",shape=(64,64))],examples=["samples/augreg_base/tank.png", "samples/augreg_base/sundial.png", "samples/augreg_base/lizard.png", "samples/augreg_base/storck.png", "samples/augreg_base/hummingbird2.png", "samples/augreg_base/hummingbird.png"], capture_session=True)
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+ #demo.launch(debug=True)
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+
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+ demo = gr.Blocks()
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+
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+ with demo:
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+ gr.Markdown('Select an image and then click **submit** to see the output.')
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+
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+ with gr.Row():
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+ inp = gr.inputs.Image(shape=(224,224))
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+
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+ outs = []
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+ with gr.Row():
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+ out1 = gr.outputs.Label(label="Our Classification", num_top_classes=3)
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+ out2 = gr.Image(label="Our Relevance",shape=(224,224))
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+
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+ with gr.Row():
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+ out3 = gr.outputs.Label(label="Original Classification", num_top_classes=3)
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+ out4 = gr.Image(label="Original Relevance",shape=(224,224))
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+
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+ btn = gr.Button('Submit')
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+ btn.click(fn=image_classifier, inputs=inp, outputs=[out1, out2, out3, out4])
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+
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+ demo.launch()
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+