Update README.md

README.md

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 short_description: 'BERT-Based Sentiment Analyzer '
 ---
+# **BERT Sentiment Analysis - Flask App**
+This project is a **Flask-based web application** that performs **sentiment analysis** using a **pre-trained BERT model** hosted on **Hugging Face**. The app can analyze text sentiment from **manual input** or **CSV file uploads**, displaying results in a user-friendly web interface.
+
+## **🚀 Features**
+- **Pre-trained BERT Model**: Uses `philipobiorah/bert-imdb-model` from **Hugging Face**.
+- **Text & File Input**: Accepts **manual text input** and **CSV uploads** for batch processing.
+- **Sentiment Analysis**: Classifies text as **Positive** or **Negative**.
+- **Visualization**: Displays sentiment distribution via **bar charts**.
+- **Web Interface**: Easy-to-use Flask-based UI.
+
+---
+
+## **🌍 Model Information**
+- **Model Name**: [`philipobiorah/bert-imdb-model`](https://huggingface.co/philipobiorah/bert-imdb-model)
+- **Hosted on**: [Hugging Face Model Hub](https://huggingface.co/philipobiorah/bert-imdb-model)
+- **Base Model**: `bert-base-uncased`
+- **Framework**: `transformers` (Hugging Face) + `torch` (PyTorch)
+
+---
+
+## **🛠 Installation & Setup**
+### **1️⃣ Clone the Repository**
+```bash
+git clone https://github.com/your-username/bert-sentiment-analysis.git
+cd bert-sentiment-analysis
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference