Update README.md

README.md

@@ -14,6 +14,11 @@ tags:
 ---
 # Sentiment Analysis from Scratch (LSTM + Attention)
 
-This model performs sentiment analysis on short texts or tweets. Built completely from scratch with a Bidirectional LSTM and an Attention mechanism, it predicts whether the input is **Positive** or **Negative**, along with a confidence score.
+This is a sentiment analysis model built entirely from scratch using a bidirectional LSTM architecture with an attention mechanism. The tokenizer is also trained from scratch on the dataset.
 
-✅ Try it out below using the widget!
+## Example Use
+Try it out here 👇👇
+
+```python
+Input: "I'm so happy to see this project live!"
+Output: Positive (0.95)