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Update README.md

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@@ -109,7 +109,3 @@ predicted_sentiment, sentiment_score = predict_sentiment(new_text, tokenizer, mo
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  print(f"The sentiment of the input text is: {predicted_sentiment} with scores {sentiment_score}")
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  ```
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-
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- sample text = `I visited the new bookstore downtown yesterday. It has a variety of books across different genres. The layout is organized, and the staff is present if you need assistance. The store has a café section where you can sit and read. It's a quiet place, ideal for spending a few hours. Overall, it's a standard bookstore that offers the expected services without any notable highlights or drawbacks.`
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-
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- The sentiment of the input text is: negative with scores [0.9463438 0.04554183 0.00811444]
 
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  print(f"The sentiment of the input text is: {predicted_sentiment} with scores {sentiment_score}")
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  ```