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---
title: Multimodel Summarizer
emoji: 🦀
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
short_description: Compare summaries from multiple models and see the sentiment
---
# Multi-Model Text Summarizer + Sentiment Analyzer
🚀 **Showcase Project by Bharathi212**
This Hugging Face Space demonstrates a **multi-model text summarization app** with sentiment analysis. It compares the outputs of two popular NLP models:
- **BART Large CNN** (`facebook/bart-large-cnn`)
- **T5 Small** (`t5-small`)
Additionally, each generated summary is analyzed for sentiment using a pre-trained Hugging Face pipeline.
---
## Features
- Compare summaries from **multiple models** side by side
- Analyze the **sentiment of each summary**
- Simple and interactive **Gradio interface**
- Ready to **deploy or integrate into larger NLP projects**
---
## How to Use
1. Paste your text in the input box.
2. Click **Submit / Run**.
3. View the generated summaries and their sentiment scores.
---
## Technology Stack
- Python 3
- Hugging Face Transformers (`facebook/bart-large-cnn`, `t5-small`)
- Hugging Face Sentiment Analysis Pipeline
- Gradio for interactive UI
**Outputs:**
| Model | Summary | Sentiment |
|-----------------|--------------------------------------|----------------|
| BART Large CNN | AI is transforming the world in many areas including healthcare and education. | POSITIVE (0.99) |
| T5 Small | AI tools help humans solve problems faster and efficiently. | POSITIVE (0.98) |
---
## Deployment
- Hosted on [Hugging Face Spaces](https://huggingface.co/spaces/bharathi212/Multimodel_summarizer)
- CPU-only deployment (default free tier)
- GPU upgrade optional for faster inference
---
## License
This project is licensed under the **MIT License**.
---
## Author
**Bharathi212**
- Hugging Face profile: [https://huggingface.co/bharathi212](https://huggingface.co/bharathi212)
- Certificate: Completed **Hugging Face Fundamentals of LLMs Course**
---
✨ Try it now and see how different models summarize the same text!
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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