Update app.py

app.py

@@ -68,9 +68,9 @@ def decide(text):
         lr_result,
         lstm_result,
         bert_result]
-    if lstm_result >= 0.6:
+    if ((lr_result + lstm_result + bert_result) / 3) >= 0.6:
         return "Positive review (LR: {}, LSTM: {:.2}, BERT: {:.2}".format(*results)
-    elif lstm_result <= 0.4:
+    elif ((lr_result + lstm_result + bert_result) / 3) <= 0.4:
         return "Negative review (LR: {}, LSTM: {:.2}, BERT: {:.2}".format(*results)
     else:
         return "Neutral review (LR: {}, LSTM: {:.2}, BERT: {:.2}".format(*results)
@@ -78,7 +78,21 @@ def decide(text):
 
 example_sentence_1 = "I hate this toaster, they made no effort in making it. So cheap, it almost immediately broke!"
 example_sentence_2 = "Great toaster! We love the way it toasted my bread so quickly. Very high quality components too."
-examples = [[example_sentence_1], [example_sentence_2]]
+example_sentence_3 = "Packaging was all torn and crushed. Planned on giving as Christmas gifts. Cheaply made " \
+                     "material. Only flips one way. Terrible product!"
+example_sentence_4 = "An epic undertaking and delivered with sophistication and style... " \
+                     "an engaging and thought provoking read!"
+example_sentence_5 = "Tried to bond a part of a foil that was damage but this adhesive is too weak in the bond it " \
+                     "forms between these two materials. Will Crack upon any kind of force that gets applied even " \
+                     "after letting it cure for a few days."
+example_sentence_6 = "I really love this toothpaste. It does not have floride or xylitol. A big plus is my teeth feel " \
+                     "cleaner with this toothpaste after brushing than with any other toothpaste I have ever had."
+examples = [[example_sentence_1],
+            [example_sentence_2],
+            [example_sentence_3],
+            [example_sentence_4],
+            [example_sentence_5],
+            [example_sentence_6]]
 
 description = "Write out a product review to know the underlying sentiment."