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title: RealTime Text Classifier Gradio
emoji: 📉
colorFrom: yellow
colorTo: pink
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
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
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