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| title: SentimentAnalyzer | |
| emoji: 🎭 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: "4.40.0" | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Sentiment Analyzer | |
| A full featured sentiment analysis app built with HuggingFace Transformers and Gradio. | |
| ## Features | |
| - ✅ Single sentence analysis with confidence score + response time | |
| - ✅ Batch analysis up to 20 sentences at once with summary | |
| - ✅ Clean tabbed interface | |
| - ✅ Built in example sentences | |
| ## Model | |
| | Detail | Info | | |
| | Model | distilbert-base-uncased-finetuned-sst-2-english | | |
| | Task | Binary Sentiment Classification (POSITIVE / NEGATIVE) | | |
| | Accuracy | ~91% on SST-2 benchmark | | |
| | Source | HuggingFace Transformers | | |
| ## Tech Stack | |
| - HuggingFace Transformers (DistilBERT) | |
| - Gradio 4.x | |
| - Python 3.10+ | |
| ## Background | |
| Originally built as a full stack project with Flask REST API + React frontend. | |
| This Space showcases the core ML functionality with an interactive Gradio interface. | |
| ## Developer | |
| **Sawda** · BS Computer Engineering Technology · IIU Islamabad | |
| [GitHub](https://github.com/Sawdah12) · [LinkedIn](https://linkedin.com/in/sawda) | |