Update README.md

README.md

@@ -90,7 +90,7 @@ from transformers import pipeline
 # Create the pipeline
 sentiment_classifier = pipeline('text-classification', model='AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon')
 
-# Now you can use the pipeline to classify emotions
+# Now you can use the pipeline to get the sentiment
 result = sentiment_classifier("This product doesn't fit me at all.")
 print(result)
 #[{'label': 'negative', 'score': 0.9994848966598511}]