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README.md
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license: mit
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short_description: Compare summaries from multiple models and see the sentiment
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: mit
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short_description: Compare summaries from multiple models and see the sentiment
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---
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# Multi-Model Text Summarizer + Sentiment Analyzer
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🚀 **Showcase Project by Bharathi212**
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This Hugging Face Space demonstrates a **multi-model text summarization app** with sentiment analysis. It compares the outputs of two popular NLP models:
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- **BART Large CNN** (`facebook/bart-large-cnn`)
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- **T5 Small** (`t5-small`)
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Additionally, each generated summary is analyzed for sentiment using a pre-trained Hugging Face pipeline.
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## Features
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- Compare summaries from **multiple models** side by side
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- Analyze the **sentiment of each summary**
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- Simple and interactive **Gradio interface**
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- Ready to **deploy or integrate into larger NLP projects**
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---
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## How to Use
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1. Paste your text in the input box.
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2. Click **Submit / Run**.
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3. View the generated summaries and their sentiment scores.
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---
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## Technology Stack
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- Python 3
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- Hugging Face Transformers (`facebook/bart-large-cnn`, `t5-small`)
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- Hugging Face Sentiment Analysis Pipeline
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- Gradio for interactive UI
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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