README.md

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emoji: 📊
title: 🤖 BERT + ELMo Sentence Similarity Analyzer

🤖 BERT + ELMo Sentence Similarity Analyzer

This Gradio app allows you to compute semantic similarity between sentences using BERT and ELMo embeddings. Users can add sentences, select a BERT variant, and see pairwise similarity matrices.

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🚀 Features

• Supports multiple BERT variants:
  • BERT Large Uncased (1024 dims, recommended for similarity)
  • BERT Large Cased (1024 dims, preserves capitalization)
  • BERT Base Uncased (768 dims, faster)
  • BERT Base Cased (768 dims)
• ELMo embeddings (1024 dims, context-aware)
• Mean-pooling over tokens for BERT
• Pairwise cosine similarity using PyTorch & Scikit-learn
• Clear and reset stored sentences anytime
• Easy-to-use Gradio interface with live status updates

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📖 How to Use

1. Choose Model: Select your preferred BERT variant (uncased recommended for semantic similarity).
2. Add Sentences: Type a sentence and click Add Sentence.
3. Repeat: Add at least 2 sentences to compute similarity.
4. Compute Similarity: Click Compute Similarity to generate pairwise similarity matrices.
5. Clear All: Reset all stored sentences and embeddings.

Values closer to 1.0 indicate higher semantic similarity.

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🧰 Requirements

Install dependencies from requirements.txt:

pip install -r requirements.txt