MEMORY_ERROR_FIX.md

🚨 MEMORY ERROR FIX - Windows Paging File Too Small

Error You're Seeing

OSError: [WinError 1455] The paging file is too small for this operation to complete

This happens when Windows virtual memory (paging file) is too small to load PyTorch and all AI models.

🔧 QUICK FIX: Increase Windows Virtual Memory

Step 1: Open System Properties

1. Press Win + Pause/Break OR
2. Right-click "This PC" → Properties
3. Click "Advanced system settings" (left sidebar)
4. Click "Settings" under Performance section

Step 2: Increase Virtual Memory

1. Go to "Advanced" tab
2. Click "Change" under Virtual Memory
3. Uncheck "Automatically manage paging file size"
4. Select your system drive (usually C:)
5. Choose "Custom size"
6. Set both values:
   • Initial size: 16000 MB (16 GB)
   • Maximum size: 32000 MB (32 GB)
7. Click "Set"
8. Click "OK" on all windows
9. RESTART YOUR COMPUTER

Step 3: After Restart

cd D:\mis_2\LinkScout
python combined_server.py

Server should now start successfully!

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✅ What I Fixed in Code

I implemented lazy loading so models only load when actually needed:

• ✅ NER model: Loads on first entity extraction
• ✅ Hate Speech: Loads on first hate speech detection
• ✅ Clickbait: Loads on first clickbait check
• ✅ Bias: Loads on first bias analysis

Before: All 8 models loaded at startup (crashed)
After: Only RoBERTa + Emotion load at startup, others load on-demand

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🎯 Expected Startup After Fix

📱 Using device: cpu
🚀 Loading AI models...
Loading RoBERTa fake news detector...
✅ RoBERTa loaded
Loading emotion classifier...
✅ Emotion model loaded
⏳ NER model: lazy loading (loads on first use)
⏳ Hate Speech detector: lazy loading (loads on first use)
⏳ Clickbait detector: lazy loading (loads on first use)
⏳ Bias detector: lazy loading (loads on first use)
✅ Core models loaded (RoBERTa, Emotion)
🔧 Initializing Reinforcement Learning...
💾 [RL] No saved model found, starting fresh
🧠 RL Agent: READY (Episodes: 0)
✅ Server running on http://localhost:5000

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🆘 If You Can't Increase Virtual Memory

Alternative 1: Use Lighter Server (MIS Directory)

The MIS server has better memory management:

cd D:\mis_2\mis
python agentic_server.py

Alternative 2: Disable Some Models

Edit combined_server.py and comment out models you don't need.

Alternative 3: Add More RAM

If your PC has <8GB RAM, consider upgrading to 16GB+.

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📊 Current System Requirements

Minimum:

• RAM: 8GB
• Virtual Memory: 16GB
• Disk Space: 10GB (for models cache)

Recommended:

• RAM: 16GB+
• Virtual Memory: 32GB
• Disk Space: 20GB

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✅ After Server Starts

1. Reload LinkScout extension (chrome://extensions/)
2. Visit any news article
3. Click LinkScout icon
4. Click "Scan Page"
5. RL system works with feedback buttons!

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Last Updated: October 21, 2025
Issue: Windows paging file too small for PyTorch + 8 AI models
Solution: Increase virtual memory to 16-32GB + Lazy loading implemented