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Update app.py
Browse files
app.py
CHANGED
@@ -265,7 +265,7 @@ def submit_comment(comment):
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clear_botton = gr.Button("Clear comments", interactive=len(comments) != 0)
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return (gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True),
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gr.Text(label="Comment", show_label=False, lines=
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gr.Button(f"Extract visual preference from {len(comments)} comments", interactive=len(comments) != 0, variant="primary"),
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clear_botton
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)
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@@ -282,7 +282,7 @@ def next_image():
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image_index = (image_index + 1) % len(comment_images)
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=
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def previous_image():
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global comment_images, image_index
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@@ -298,7 +298,7 @@ def previous_image():
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image_index = (image_index - 1) % len(comment_images)
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=
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def clear_comments():
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comments.clear()
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@@ -534,7 +534,7 @@ def upload_file(files):
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comment_images = [file_path] + comment_images
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next_comment = ""
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=
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def next_prompt():
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global example_prompts, examples
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@@ -666,7 +666,7 @@ 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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## Step 2: Personalized image generation (using Stable Diffusion XL)
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Generate personalized images using the visual preference extracted from your comments by entering a prompt below!
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""")
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slider = gr.Slider(value=0.85, minimum=0, maximum=1.5, label="Personalization degree", interactive=True)
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clear_botton = gr.Button("Clear comments", interactive=len(comments) != 0)
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return (gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True),
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gr.Text(label="Comment", show_label=False, lines=4, max_lines=5, placeholder="Enter your comment. The more detailed the better.", value=next_comment, container=False),
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gr.Button(f"Extract visual preference from {len(comments)} comments", interactive=len(comments) != 0, variant="primary"),
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clear_botton
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)
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image_index = (image_index + 1) % len(comment_images)
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=4, max_lines=5, placeholder="Enter your comment. The more detailed the better.", value=next_comment, container=False)
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def previous_image():
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global comment_images, image_index
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image_index = (image_index - 1) % len(comment_images)
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=4, max_lines=5, placeholder="Enter your comment. The more detailed the better.", value=next_comment, container=False)
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def clear_comments():
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comments.clear()
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comment_images = [file_path] + comment_images
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next_comment = ""
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return gr.Image(value=comment_images[0], label=f"image {image_index+1}/{len(comment_images)}", show_label=True), gr.Text(label="Comment", show_label=False, lines=4, max_lines=5, placeholder="Enter your comment. The more detailed the better.", value=next_comment, container=False)
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def next_prompt():
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global example_prompts, examples
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gr.Markdown(f"""
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## Step 2: Personalized image generation (using Stable Diffusion XL)
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Generate personalized images using the visual preference extracted from your comments by entering a prompt below! You can adjust the personalization degree to generate results that are more or less personalized and diverse.
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""")
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slider = gr.Slider(value=0.85, minimum=0, maximum=1.5, label="Personalization degree", interactive=True)
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