Update app.py

app.py

@@ -16,9 +16,9 @@ def decide(text):
   padded_tokens = pad_sequences(tokenized_text, maxlen= 200)
   result = model.predict(padded_tokens)[0][0]
   if result > 0.6 :
-    return f"Positive review with {result : .0%} prediction score"
+    return f"Positive review with {result : .0%} confidence score"
   elif result < 0.4:
-    return f"Negative review with {result : .0%} prediction score"
+    return f"Negative review with {result : .0%} confidence score"
   else:
     return "Neutral review"
   
@@ -31,5 +31,5 @@ examples = [[example_sentence_1], [example_sentence_2]]
 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", 
+             title="Sentiment analysis of movie reviews", theme = "grass", description=description, allow_flagging="auto", 
              flagging_dir='flagging records').launch(enable_queue = True, inline=False, share = True)