Update app.py

app.py

@@ -12,22 +12,22 @@ with open('tokenizer.pickle', 'rb') as file:
 def decide(text):
   tokenized_text = tokenizer.texts_to_sequences([text])
   padded_tokens = pad_sequences(tokenized_text, maxlen= 200)
-  result = model.predict(padded_tokens, verbose=0)
-  if result[:] > 0.6 :
-    return f"Positive review with {result[:] : .0%} prediction score"
-  elif result[:] < 0.4:
-    return f"Negative review with {result[:] : .0%} prediction score"
+  result = model.predict(padded_tokens)[0][0]
+  if result > 0.6 :
+    return f"Positive review with {result : .0%} prediction score"
+  elif result < 0.4:
+    return f"Negative review with {result : .0%} prediction score"
   else:
     return "Neutral Review"
   
 
   
-example_sentence_1 = "I hate the movie, they made no effort in making the movie. Waste of time!"
-example_sentence_2 = "Awesome movie! Loved the way in which the hero acted."
-examples = [[example_sentence_1], [example_sentence_2]]
+#example_sentence_1 = "I hate the movie, they made no effort in making the movie. Waste of time!"
+#example_sentence_2 = "Awesome movie! Loved the way in which the hero acted."
+#examples = [[example_sentence_1], [example_sentence_2]]
   
-description = "Write out a movie review to know the underlying sentiment."
+#description = "Write out a movie review to know the underlying sentiment."
 
-gr.Interface(decide, inputs= gr.inputs.Textbox( lines=1, placeholder=None, default="", label=None), outputs='text', examples=examples,
-             title="Sentiment analysis of movie reviews",description=description, allow_flagging="auto", 
-             flagging_dir='flagging records').launch( enable_queue = True, inline=False, share = True)
+#gr.Interface(decide, inputs= gr.inputs.Textbox( lines=1, placeholder=None, default="", label=None), outputs='text', examples=examples,
+ #            title="Sentiment analysis of movie reviews",description=description, allow_flagging="auto", 
+  #           flagging_dir='flagging records').launch( enable_queue = True, inline=False, share = True)