Demo750 commited on
Commit
d4ce556
1 Parent(s): a4a0c48

Update Webpage.py

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Files changed (1) hide show
  1. Webpage.py +4 -4
Webpage.py CHANGED
@@ -110,7 +110,7 @@ with gr.Blocks() as demo:
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  gr.Interface(
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  fn=attention,
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  inputs=[gr.Markdown("""
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- Instruction:
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  1. Click to upload or drag the entire image that contains BOTH ad and its context;
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  2. Draw bounding boxes in the order of: (each element can have more than 1 boxes; remember the number of boxes for each element you draw)
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     (a) Brand element(s) (skip if N.A.)
@@ -119,7 +119,7 @@ with gr.Blocks() as demo:
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     (d) The advertisement.
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  3. Put in number of bounding boxes for each element, product category, ad location and attention type.
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- NOTE: ResNet50 Heatmap could take around 20-80 seconds under current CPU environment.
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  Two example ads are avialable for download: """),
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  gr.DownloadButton(label="Download Example Image 1 of Ad and Context", value='Demo/Ad_Example1.jpg'),
@@ -132,10 +132,10 @@ with gr.Blocks() as demo:
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  gr.Dropdown(LOCATIONS, label='Ad Location'),
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  gr.Dropdown(GAZE_TYPE, label='Gaze Type')
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  ],
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- outputs=[gr.Number(label="Predicted Gaze (sec"),
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  gr.Image(label="ResNet50 Heatmap"),
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  gr.Textbox(label="Heatmap Info")],
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- title="Gazer 1.0: Ad Attention Prediction",
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  description="""This app accompanies: "Contextual Advertising with Theory-Informed Machine Learning", manuscript submitted to the Journal of Marketing.
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  App Version: 1.0, Date: 10/24/2024.
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  Note: Gazer 1.0 does not yet include LLM generated ad topics. Future updates will include this in a GPU environment.""",
 
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  gr.Interface(
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  fn=attention,
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  inputs=[gr.Markdown("""
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+ ### Instruction:
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  1. Click to upload or drag the entire image that contains BOTH ad and its context;
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  2. Draw bounding boxes in the order of: (each element can have more than 1 boxes; remember the number of boxes for each element you draw)
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     (a) Brand element(s) (skip if N.A.)
 
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     (d) The advertisement.
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  3. Put in number of bounding boxes for each element, product category, ad location and attention type.
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+ ***NOTE:*** *ResNet50 Heatmap could take around 20-80 seconds under current CPU environment.*
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  Two example ads are avialable for download: """),
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  gr.DownloadButton(label="Download Example Image 1 of Ad and Context", value='Demo/Ad_Example1.jpg'),
 
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  gr.Dropdown(LOCATIONS, label='Ad Location'),
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  gr.Dropdown(GAZE_TYPE, label='Gaze Type')
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  ],
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+ outputs=[gr.Number(label="Predicted Gaze (sec)"),
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  gr.Image(label="ResNet50 Heatmap"),
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  gr.Textbox(label="Heatmap Info")],
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+ title="""Gazer 1.0: Ad Attention Prediction""",
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  description="""This app accompanies: "Contextual Advertising with Theory-Informed Machine Learning", manuscript submitted to the Journal of Marketing.
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  App Version: 1.0, Date: 10/24/2024.
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  Note: Gazer 1.0 does not yet include LLM generated ad topics. Future updates will include this in a GPU environment.""",