Update app.py

app.py

@@ -14,9 +14,9 @@ def decide(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"
+    return f"Positive review with {result[:] : .0%} prediction score"
   elif result[:] < 0.4:
-    return f"Negative review with {result : .0%} prediction score"
+    return f"Negative review with {result[:] : .0%} prediction score"
   else:
     return "Neutral Review"