DEPLOYMENT.md

🚀 Deployment Instructions for Hugging Face Spaces

Quick Deployment

Option 1: Use Simplified Version (Recommended)

1. Create a new Hugging Face Space:

   • Go to https://huggingface.co/new-space
   • Choose "Gradio" as the SDK
   • Set the space name: scientific-idea-verifier
   • Make it public or private as desired

2. Upload the following files:

   app.py                 (rename app_simple.py to app.py)
   requirements.txt       (use requirements_simple.txt)
   README.md
   

3. File Contents:

   • app.py: Use the content from app_simple.py
   • requirements.txt: Use the content from requirements_simple.txt
   • README.md: Use the existing README.md

4. Configure Secrets (Optional):

   • In your Space settings, add a secret named OPENAI_API_KEY
   • Set the value to: 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

Option 2: Full System Deployment (Advanced)

If you want to deploy the complete multi-agent system:

1. Upload all files from the project directory
2. Use the full requirements.txt
3. Set app.py to import from the full system
4. Configure additional secrets if needed

File Structure for Deployment

scientific-idea-verifier/
├── app.py                 # Main application file
├── requirements.txt       # Dependencies
├── README.md             # Documentation
└── .gitignore           # Git ignore file

Environment Variables / Secrets

Required Secrets:

• OPENAI_API_KEY: Your OpenAI API key for LLM functionality

Optional Secrets:

• HUGGINGFACE_TOKEN: For enhanced features (already configured)

Testing the Deployment

1. Local Testing:

   cd scientific_idea_verifier
   pip install -r requirements_simple.txt
   python app_simple.py
   

2. Access the interface at http://localhost:7860

3. Test with sample idea:

   • Enter a research idea
   • Provide your OpenAI API key
   • Click "Verify Research Idea"

Features Available in Deployed Version

✅ Core Features:

• Research idea input and analysis
• OpenAlex integration for literature search
• Novelty scoring based on similar works
• AI-powered detailed analysis and recommendations
• Interactive metrics visualization
• Multiple OpenAI model support (GPT-3.5, GPT-4o, GPT-4o-mini)

✅ User Interface:

• Clean, professional Gradio interface
• Real-time progress updates
• Tabbed results display
• Responsive design for mobile and desktop

✅ Security:

• API key input protection (password field)
• No data storage or logging
• Client-side processing

Limitations of Simplified Version

• Single-agent analysis (vs. multi-agent in full version)
• Simplified novelty detection algorithm
• Basic keyword extraction
• No advanced caching or rate limiting

Troubleshooting

Common Issues:

1. "Invalid API key" error:

   • Ensure your OpenAI API key is correct
   • Check that you have sufficient credits

2. "No similar works found":

   • This is normal for very novel ideas
   • OpenAlex may not have coverage in all fields

3. Slow response times:

   • Depends on OpenAI API response time
   • GPT-4o may be slower than GPT-3.5-turbo

Performance Optimization:

1. Use GPT-3.5-turbo for faster responses
2. Keep research ideas concise (under 500 words)
3. Avoid special characters in research ideas

Support and Updates

• Documentation: See README.md for detailed usage instructions
• Issues: Report bugs or feature requests in the Space discussions
• Updates: The system will be updated periodically with new features

API Usage Costs

The system uses OpenAI's API, which has usage-based pricing:

• GPT-3.5-turbo: ~$0.002 per verification
• GPT-4o: ~$0.01-0.03 per verification
• GPT-4o-mini: ~$0.001 per verification

Users provide their own API keys, so costs are borne by the user.

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Quick Start Commands

# Clone or download the files
# Upload to Hugging Face Spaces
# Or run locally:

pip install gradio openai requests plotly
python app_simple.py

🎉 Your Scientific Idea Verification System is now ready for deployment!