README.md

metadata

title: Viral Images
emoji: 🧠
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false

🧠 Viral Images

Upload an image, score it, and improve it.

What It Does

Viral Images analyzes your image across 8 dimensions:

• Concept Match — Does it convey your intended topic?
• Visual Focus — Is there a clear focal point that draws the eye?
• Readability — Is text legible and well-sized?
• Complexity Balance — Is detail level appropriate — not empty, not cluttered?
• Communication Clarity — Is the visual hierarchy clear and well-organized?
• Predicted Neural Richness — How visually engaging is the image?
• Memorability — Will viewers remember it after one viewing?
• Improvement Potential — How much room for improvement remains?

How to Use

1. Upload an image (JPG, PNG, or any common format)
2. Describe the concept — what should this image communicate?
3. Select audience and use case
4. Click "Score Image"
5. Review scores, strengths, weaknesses, and suggestions

Compare Mode

Upload an original and a revised version to see what improved and what to focus on next.

⚠️ Important Disclaimer

• Scores are AI-predicted proxies, not measurements of real brain activity.
• Scores do not guarantee engagement, virality, or aesthetic quality.
• Use as directional feedback to complement your own judgment.
• Predicted Neural Richness is estimated via computational proxy models, not from actual fMRI data.

Technical Details

Models used: CLIP ViT-B/32 (concept matching), heuristic analysis (OpenCV), saliency heuristics, OCR heuristics, and aesthetic proxies. Neural richness is estimated via proxy, not measured.