metadata

title: SEMA
emoji: 📈
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
license: mit
short_description: 'SEMA: Analyze sentence similarity, sentiment, and more'

🧪 SEMA: Semantic Evaluation & Matching Analyzer

SEMA is an interactive Gradio-powered NLP tool for analyzing semantic similarity, paraphrasing, sentiment, and linguistic features between two sentences.

🚀 Features

✅ Sentence similarity scoring (BERT/SBERT models)
📊 Visual similarity charts (Bar, Gauge, Heatmap)
🔄 Paraphrase detection and generation
💬 Sentiment analysis (transformers-based)
🧠 Named Entity Recognition (NER)
🧾 POS tagging with visual distribution (Pie chart)
📚 Text statistics: word counts, overlap, character counts

🔧 Models Used

Sentence Transformers:
- all-MiniLM-L6-v2
- paraphrase-MiniLM-L3-v2
- paraphrase-multilingual-MiniLM-L12-v2
- distilbert-base-nli-mean-tokens
Paraphraser: ramsrigouthamg/t5_paraphraser
Sentiment: Hugging Face sentiment-analysis pipeline
NER/POS: spaCy (en_core_web_trf)

🛠️ Setup

git clone https://github.com/adityasync/SEMA.git
cd SEMA
pip install -r requirements.txt
python app.py

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference