Update app.py

app.py

@@ -6,7 +6,7 @@ from tensorflow.keras.layers import TextVectorization
 twitter_data = pd.read_csv('lemmatized_twitter__data.csv')
 
 # Step 1: Convert floats or non-string values to string
-#twitter_data['lemmatized_text'] = twitter_data['lemmatized_text'].apply(lambda x: str(x) if isinstance(x, float) else x)
+twitter_data['lemmatized_text'] = twitter_data['lemmatized_text'].apply(lambda x: str(x) if isinstance(x, float) else x)
 
 X=twitter_data['lemmatized_text']