Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+---
+# Tunisian Dialect Sentiment Analysis Model
+
+## Overview
+
+This project implements a Natural Language Processing (NLP) model for sentiment analysis of text written in Tunisian dialect. The model is designed to classify the sentiment of given text as positive, negative, or neutral.
+
+## Features
+
+- Sentiment analysis for Tunisian dialect text
+- Classification into positive, negative, and neutral sentiments
+- [Add any additional features of your model]
+
+## Requirements
+
+- Python 3.7+
+- [List any required libraries, e.g., TensorFlow, PyTorch, etc.]
+
+## Usage
+
+[Provide code snippets or instructions on how to use the model]
+
+Example:
+```python
+from tunisian_sentiment import SentimentAnalyzer
+
+analyzer = SentimentAnalyzer()
+text = "هاك الفيلم جميل برشا"
+sentiment = analyzer.analyze(text)
+print(f"Sentiment: {sentiment}")