Added text summarization model using Groq API

[satyajit-patel]

Closes: #143

Enhanced Text Summarization with Groq API Integration

This PR upgrades the text summarization feature by replacing the local transformers pipeline with Groq's lightning-fast API, delivering significant performance improvements while maintaining the exact same user interface.

Working Video 📷

Text Summarization with Groq API Integration

Key Changes:

• Performance Boost: 4-8x faster summarization (from 8-12s to 1-3s)
• Quality Improvement: Upgraded from t5-small to Llama 3.1 8B model
• Resource Optimization: Reduced memory usage from ~500MB to ~50MB
• Security: Proper API key management through Streamlit secrets

Technical Implementation:

• Replaced transformers pipeline with Groq API client
• Maintained original function signatures and UI components
• Added robust error handling for API key configuration

Files Modified/Added:

• textSummarizationModel.py - Updated with Groq API integration
• secrets.example.toml - Added API key configuration template

Before & After Comparison 📊

Before (t5-small model):

• Slower processing time (8-12 seconds)
• Basic summarization quality

After (Groq API with Llama 3.1 8B):

• Lightning-fast processing (1-3 seconds)
• Superior summarization quality

• Bug fix
• New feature
• Code style update (formatting, local variables)
• Documentation update
• Database update

[github-actions]

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[satyajit-patel]

Hi @Avdhesh-Varshney ,
I've resolved the merge conflicts and pushed the updates.
Please review it again when convenient.
Thank you!

[satyajit-patel]

Hi @Avdhesh-Varshney,
I've made the changes as discussed - removed versions from requirements.txt, added the API guide, and renamed the file to textSummarization. I've pushed the updates to the same branch. Please have a look when you get a chance.

[satyajit-patel]

Hi @Avdhesh-Varshney ,
The feature is now working as expected. I’ve pushed the updated code and here is a working demo video: Video Link.
Please have a look and let me know if any further changes are needed.

[Avdhesh-Varshney]

LGTM 🎉

[adityasingh-0803]

Great 👍