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Update Webpage.py
Browse files- Webpage.py +3 -2
Webpage.py
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@@ -140,13 +140,13 @@ def attention(note, button1, button2,
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with gr.Blocks() as demo:
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gr.Markdown("""
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<div style='text-align: center; padding: 10px; font-size:40px'>
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<p> <b>
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</div>
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""")
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gr.Markdown("""
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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:
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""")
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gr.Interface(
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fn=convert,
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@@ -197,6 +197,7 @@ with gr.Blocks() as demo:
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"""
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<div style='text-align: center; padding: 1px;'>
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<p>Copyright © 2024 Manuscript Authors. All Rights Reserved.</p>
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<p>Disclaimer: This app is provided for free and for academic use only. The authors take no responsibility for your use of the information contained in or linked from these web pages.</p>
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</div>
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"""
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with gr.Blocks() as demo:
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gr.Markdown("""
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<div style='text-align: center; padding: 10px; font-size:40px'>
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<p> <b>AdGazer 1.0: Ad Attention Prediction</b> </p>
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</div>
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""")
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gr.Markdown("""
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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: AdGazer 1.0 does not yet include LLM generated ad topics. Future updates will include this in a GPU environment.
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""")
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gr.Interface(
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fn=convert,
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"""
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<div style='text-align: center; padding: 1px;'>
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<p>Copyright © 2024 Manuscript Authors. All Rights Reserved.</p>
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<p>License: cc-by-nc-4.0.
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<p>Disclaimer: This app is provided for free and for academic use only. The authors take no responsibility for your use of the information contained in or linked from these web pages.</p>
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</div>
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"""
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