Update README.md

README.md

@@ -8,23 +8,10 @@ metrics:
 ## 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.
+Labels {-1:Negative, 0:Neutral, 1:Positive}
 
 ## Features
 
 - Sentiment analysis for Tunisian dialect text
 - Classification into positive, negative, and neutral sentiments
 
-## Requirements
-
-- Python 3.7+
-
-## Usage
-
-Example:
-```python
-from tunisian_sentiment import SentimentAnalyzer
-
-analyzer = SentimentAnalyzer()
-text = "هاك الفيلم جميل برشا"
-sentiment = analyzer.analyze(text)
-print(f"Sentiment: {sentiment}")