Update README.md

README.md

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 short_description: AI that analyzes restaurant reviews, providing insights
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🍽️ Restaurant Review Analyzer
+
+## Overview
+Restaurant Review Analyzer is an intelligent Streamlit application that transforms customer feedback into actionable insights using advanced machine learning and AI technologies.
+
+## Features
+- 📊 Zero-shot sentiment classification across multiple restaurant aspects
+- 🤖 AI-powered insights generation
+- 📈 Detailed review analysis and visualization
+- 🚀 Easy-to-use CSV file upload interface
+
+## Prerequisites
+- Python 3.8+
+- Groq API Key
+
+## Installation
+
+1. Clone the repository:
+2. Create a virtual environment:
+3. Install dependencies:
+4. Set up Groq API Key:
+- Replace `"groq_api_key"` in `app.py` with your actual Groq API key
+
+## Usage
+Run the Streamlit application:
+```bash
+streamlit run app.py
+```
+
+## CSV File Requirements
+- Must contain a 'Review' column
+- Recommended to have 30 or fewer reviews for initial analysis
+
+## Technologies Used
+- Streamlit
+- Transformers (Hugging Face)
+- Pandas
+- Groq AI
+- PyTorch
+
+## Contributing
+Pull requests are welcome. For major changes, please open an issue first to discuss proposed changes.