Update app.py

app.py

@@ -15,7 +15,7 @@ with open('tokenizer.pickle', 'rb') as f:
 
 
 def predict_sentiment(text):
-    sentiment = ['Do you really dislike the movie so much?','Hmm...your thoughts are neutral about the movie.','Wow! Your a big fan.']
+    sentiment = ['I guess, I liked the movie, but I'm not sure it's my favorite.']
     sequence_test = tokenizer.texts_to_sequences([text])
     padded_test = pad_sequences(sequence_test, maxlen= 52)
     text=padded_test
@@ -23,7 +23,7 @@ def predict_sentiment(text):
     X = [text for _ in range(len(model.input))]
     a=model.predict(X, verbose=0)
     return sentiment[np.around(a, decimals=0).argmax(axis=1)[0]]
-description = "Give a review of a movie that you like(or hate, sarcasm intended XD) and the model will let you know just how much your review truely reflects your emotions. "
+description = "Provide an opinion regarding a movie and this app will suggest what the underlying sentiment is. "
 
 
 #Gradio app