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Update README.md

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@@ -25,11 +25,11 @@ pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-e
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  predictions = pipe(text)[0]
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  predictions = sorted(predictions, key=lambda d: d['score'], reverse=True)
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  predictions[:5]
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- >> [{'label': '😒', 'score': 0.14303581416606903},
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- {'label': '😩', 'score': 0.07775110006332397},
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- {'label': '😤', 'score': 0.0710175409913063},
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- {'label': '😑', 'score': 0.06665993481874466},
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- {'label': '😫', 'score': 0.0662984848022461}]
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  ```
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  ## Citation Information
 
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  predictions = pipe(text)[0]
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  predictions = sorted(predictions, key=lambda d: d['score'], reverse=True)
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  predictions[:5]
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+ >> [{'label': '😒', 'score': 0.3771325647830963},
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+ {'label': '😑', 'score': 0.11055194586515427},
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+ {'label': '😤', 'score': 0.06117523834109306},
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+ {'label': '😡', 'score': 0.0564400739967823},
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+ {'label': '😫', 'score': 0.047937799245119095}]
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  ```
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  ## Citation Information