sandrocalzada commited on
Commit
7702267
1 Parent(s): a2d57e1

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +22 -8
app.py CHANGED
@@ -28,23 +28,37 @@ def predict_gender(image):
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  return "Male" if prediction[0] < 0.5 else "Female"
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- def predict(image_in_video):
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- if image_in_video == None:
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- raise gr.Error("Please capture an image using the webcam.")
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- return image_in_video
 
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  with gr.Blocks() as blocks:
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- gr.Markdown("### Capture Image Using WebCam")
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  with gr.Row():
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  with gr.Column():
 
 
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  image_in_video = gr.Image(source="webcam", type="filepath")
 
 
 
 
 
 
 
 
 
 
 
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  with gr.Column():
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  image_out = gr.Image()
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-
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  run_btn = gr.Button("Run")
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- run_btn.click(fn=predict, inputs=[image_in_video], outputs=[image_out])
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- gr.Examples(fn=predict, examples=[], inputs=[image_in_video], outputs=[image_out])
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  blocks.queue()
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  blocks.launch()
 
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  return "Male" if prediction[0] < 0.5 else "Female"
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+ def predict(image_in_video, image_in_img):
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+ if image_in_video == None and image_in_img == None:
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+ raise gr.Error("Please capture an image using the webcam or upload an image.")
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+ image = image_in_video or image_in_img
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+ return image
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  with gr.Blocks() as blocks:
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+ gr.Markdown("### Capture Image Using WebCam or Upload")
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  with gr.Row():
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  with gr.Column():
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+ image_or_file_opt = gr.Radio(["webcam", "file"], value="webcam",
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+ label="How would you like to upload your image?")
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  image_in_video = gr.Image(source="webcam", type="filepath")
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+ image_in_img = gr.Image(source="upload", visible=False, type="filepath")
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+
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+ # Update visibility based on selection
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+ def toggle(choice):
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+ if choice == "webcam":
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+ return gr.update(visible=True, value=None), gr.update(visible=False, value=None)
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+ else:
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+ return gr.update(visible=False, value=None), gr.update(visible=True, value=None)
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+
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+ image_or_file_opt.change(fn=toggle, inputs=[image_or_file_opt],
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+ outputs=[image_in_video, image_in_img], queue=False, show_progress=False)
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  with gr.Column():
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  image_out = gr.Image()
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+
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  run_btn = gr.Button("Run")
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+ run_btn.click(fn=predict, inputs=[image_in_img, image_in_video], outputs=[image_out])
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+ gr.Examples(fn=predict, examples=[], inputs=[image_in_img, image_in_video], outputs=[image_out])
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  blocks.queue()
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  blocks.launch()