Update README.md

README.md

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