Update README.md

README.md

@@ -2,7 +2,7 @@
 
 This project demonstrates how to perform **Tone Detection** using the [`facebook/bart-large-mnli`](https://huggingface.co/facebook/bart-large-mnli) model through **zero-shot classification** based on Natural Language Inference (NLI).
 
-This approach enables you to classify emotional tone (e.g., joy, anger, sadness) **without training**, by framing it as a textual entailment task.
+This approach enables you to classify emotional tone (e.g., Positive, Negative, Neutral, etc.) **without training**, by framing it as a textual entailment task.
 
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@@ -31,7 +31,7 @@ from transformers import pipeline
 
 classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
 
-labels = ["joy", "anger", "sadness", "fear", "surprise", "neutral"]
+labels = ["positive", "neutral", "negative"]
 
 text = "I can't believe this is happening again. So frustrating."