HaanIlango commited on
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c8c2a0e
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1 Parent(s): 67c7c33

Update app.py

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  1. app.py +17 -0
app.py CHANGED
@@ -486,6 +486,23 @@ def analyze(pil_image, overlay_strength):
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  with gr.Blocks(title="Design Analyzer") as demo:
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  gr.Markdown("# Design Analyzer")
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  gr.Markdown("Upload a design to check where attention is drawn, plus text contrast and readability.")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with gr.Row():
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  with gr.Column():
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  image_input = gr.Image(type="pil", label="Upload design")
 
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  with gr.Blocks(title="Design Analyzer") as demo:
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  gr.Markdown("# Design Analyzer")
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  gr.Markdown("Upload a design to check where attention is drawn, plus text contrast and readability.")
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+ gr.Markdown(
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+ "### Why this tool is different\n\n"
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+ "Most AI attention-prediction tools quote a big accuracy number "
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+ "(\"up to 96% accurate!\") with no published methodology behind it. "
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+ "We'd rather show our work.\n\n"
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+ "- **Built on a real, peer-reviewed model** (Kroner et al., 2020) - "
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+ "not a black box. See the citation below.\n"
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+ "- **Honest about uncertainty.** If text can't be reliably read, "
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+ "we say so instead of faking a score.\n"
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+ "- **Works on any static visual** - posters, social posts, app "
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+ "screens, banner ads, print, packaging.\n"
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+ "- **Attention + readability in one pass**, not two separate tools.\n"
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+ "- **No inflated claims.** A cited, transparent process instead "
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+ "of a marketing number.\n\n"
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+ "Coming soon: exportable PDF reports, before/after comparisons, "
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+ "and attention scan-path visualization."
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+ )
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  with gr.Row():
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  with gr.Column():
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  image_input = gr.Image(type="pil", label="Upload design")