miaw1419 commited on
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1 Parent(s): 006bdc6

Update app.py

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  1. app.py +3 -1
app.py CHANGED
@@ -577,6 +577,8 @@ with gr.Blocks(css=css, title="ViPer Demo", theme=gr.themes.Base()) as demo:
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  gr.Markdown(f"""
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  # **ViPer: Visual Personalization of Generative Models via Individual Preference Learning**
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  \n
 
 
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  \n
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  \n
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  """)
@@ -591,7 +593,6 @@ with gr.Blocks(css=css, title="ViPer Demo", theme=gr.themes.Base()) as demo:
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  gr.Markdown("Please write your comments on the images below, explaining why you like or dislike each one from an artistic perspective. Focus on images that evoke **strong reactions**, whether positive or negative, and skip those that don't affect you much.\nMore **detailed** comments will help us provide more personalized results. We recommend commenting on **at least 8** images.")
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- gr.Markdown("Note that our method works best with an OpenAI API. The free method might result in minor hallucinations in the extracted visual preferences.")
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  with gr.Accordion("Examples of Effective Comments", open=False):
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  example_comment_1 = gr.Textbox(
@@ -629,6 +630,7 @@ with gr.Blocks(css=css, title="ViPer Demo", theme=gr.themes.Base()) as demo:
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  clear_botton = gr.Button("Clear comments πŸ—‘", interactive=len(comments) != 0)
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  with gr.Accordion("Enter Claude API (optional)", open=False):
 
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  with gr.Row():
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  api = gr.Text(
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  max_lines=1,
 
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  gr.Markdown(f"""
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  # **ViPer: Visual Personalization of Generative Models via Individual Preference Learning**
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  \n
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+ \nViPer personalizes image creation by asking users to comment on a few images, explaining their likes and dislikes. Using these comments, ViPer infers the user's visual preferences with the help of a large language model. These preferences then guide a text-to-image model to produce images tailored to the individual's tastes.
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+ \n
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  \n
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  \n
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  """)
 
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  gr.Markdown("Please write your comments on the images below, explaining why you like or dislike each one from an artistic perspective. Focus on images that evoke **strong reactions**, whether positive or negative, and skip those that don't affect you much.\nMore **detailed** comments will help us provide more personalized results. We recommend commenting on **at least 8** images.")
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  with gr.Accordion("Examples of Effective Comments", open=False):
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  example_comment_1 = gr.Textbox(
 
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  clear_botton = gr.Button("Clear comments πŸ—‘", interactive=len(comments) != 0)
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  with gr.Accordion("Enter Claude API (optional)", open=False):
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+ gr.Markdown("By default, we extract visual preferences from user comments using a fine-tuned HuggingFaceM4/idefics2-8b model. Optionally, you can experiment with using claude-3-5-sonnet for visual preference extraction by entering your API key below.")
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  with gr.Row():
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  api = gr.Text(
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  max_lines=1,