SachaDee commited on
Commit
7471685
·
verified ·
1 Parent(s): 040d64d

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -11,10 +11,10 @@ def clear_all(image1, image2, output_image, output_json):
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  with gr.Blocks(css="app.css") as demo:
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  gr.Markdown("Choose or upload a dog image and press cpmpare!! the system will retutn the 2 detected faces with the recognition result")
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  with gr.Row(equal_height=True, scale=2):
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- with gr.Column(scale=1, min_width=300):
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  image1_input = gr.Image(type="pil", label="Image 1",width=200,height=200)
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  examples_image1 = gr.Examples(examples=["./dob1.jpg", "./p1.jpg", "./dob3.jpg", "./d1.jpg"], inputs=image1_input)
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- with gr.Column(scale=1, min_width=300):
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  image2_input = gr.Image(type="pil", label="Image 2",width=200,height=200)
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  examples_image2 = gr.Examples(examples=["./dob2.jpg", "./p2.jpg", "./dob4.jpg", "./d2.jpg"], inputs=image2_input)
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  threshold_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.55, step=0.05, label="Threshold")
 
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  with gr.Blocks(css="app.css") as demo:
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  gr.Markdown("Choose or upload a dog image and press cpmpare!! the system will retutn the 2 detected faces with the recognition result")
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  with gr.Row(equal_height=True, scale=2):
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+ with gr.Column(scale=1, min_width=200):
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  image1_input = gr.Image(type="pil", label="Image 1",width=200,height=200)
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  examples_image1 = gr.Examples(examples=["./dob1.jpg", "./p1.jpg", "./dob3.jpg", "./d1.jpg"], inputs=image1_input)
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+ with gr.Column(scale=1, min_width=200):
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  image2_input = gr.Image(type="pil", label="Image 2",width=200,height=200)
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  examples_image2 = gr.Examples(examples=["./dob2.jpg", "./p2.jpg", "./dob4.jpg", "./d2.jpg"], inputs=image2_input)
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  threshold_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.55, step=0.05, label="Threshold")