Update README.md

README.md

@@ -89,6 +89,9 @@ flant5_response = target_sentiment_extraction(sentence, target)
 print(f"Author opinion towards `{target}` in `{sentence}` is:\n{flant5_response}")
 ```
 
+The response of the model is as follows:
+> Author opinion towards "Peltier" in "Over ..." is: **positive**
+
 ### Downstream Use
 
 Please refer to the [related section](https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework?tab=readme-ov-file#three-hop-chain-of-thought-thor) of the **Reasoning-for-Sentiment-Analysis** Framework