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tweet_sentiment_analysis

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kiptoozeff commited on Mar 22, 2024

Commit

433ad7a

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1 Parent(s): 7c81dbd

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -17,7 +17,7 @@ print("Model was loaded")
 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer, device=is_gpu-1)
 emotions = {'LABEL_0': 'sadness', 'LABEL_1': 'joy', 'LABEL_2': 'love', 'LABEL_3': 'anger', 'LABEL_4': 'fear',
             'LABEL_5': 'surprise'}
-examples = ["I love you!", "I hate you!"]
 def predict(twitter):

 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer, device=is_gpu-1)
 emotions = {'LABEL_0': 'sadness', 'LABEL_1': 'joy', 'LABEL_2': 'love', 'LABEL_3': 'anger', 'LABEL_4': 'fear',
             'LABEL_5': 'surprise'}
+examples = ["I am a happy man", "I hate you!"]
 def predict(twitter):