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--- |
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title: RealTime Text Classifier Gradio |
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emoji: 📉 |
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colorFrom: yellow |
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colorTo: pink |
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sdk: gradio |
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sdk_version: 5.34.2 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: 🚀 Real-time sentiment classifier with Transformers & Gradio |
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--- |
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# Real-Time Text Sentiment Classifier 🚀 |
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This project is a real-time sentiment analysis app built using a pre-trained Hugging Face model and deployed with **Gradio**. |
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## 🔍 About the Model |
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- **Pipeline**: `text-classification` |
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- **Task**: Binary Sentiment Classification (Positive / Negative) |
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- **Model**: Pre-trained Transformer fine-tuned for sentiment analysis |
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## 🧠 Features |
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- Detects sentiment (Positive/Negative) from text inputs. |
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- Lightweight and fast — great for real-time feedback apps. |
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- Clean UI built with Gradio for web-based interaction. |
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## ⚙️ Instructions for Users |
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> This model is trained for binary sentiment classification — Positive and Negative only. |
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> Neutral or mixed opinions may be interpreted as leaning toward one side. |
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> For best results, input clearly positive or negative sentences. |
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> |
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> **Example**: |
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> ✅ "I love the features of this app!" |
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> ❌ "The app was okay, I guess." |
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## 🚀 How to Run Locally |
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Install dependencies: |
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```bash |
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pip install -r requirements.txt |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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