Update app.py

app.py

@@ -34,14 +34,14 @@ def use(input_text):
 
   # Print the prediction
   if prediction[0]<0.5:
-      return "That's Negative! (" + str(round(round(1-prediction[0],2)*100,1)) + "% confidence)"
+      return "That's Negative! (" + str(round(round(1-prediction[0],2)*100,1)) + "% confidence)", prediction[0]
   if prediction[0]>0.5:
-      return "That's Positive! (" + str(round(round(prediction[0],2)*100,1)) + "% confidence)"
+      return "That's Positive! (" + str(round(round(prediction[0],2)*100,1)) + "% confidence)", prediction[0]
 
 
 iface = gr.Interface(fn=use, 
                      inputs=gr.Textbox(lines=3, placeholder="Type Something Awesome..."), 
-                     outputs=gr.Textbox(lines=3, placeholder="Waiting For Magic..."),
+                     outputs=[gr.Textbox(lines=3, placeholder="Waiting For Magic..."),"number"],
                      title="Use RSA (Review Sentiment Analysis) v0.1.2",
                      description="<centre>This is an NLP model that accepts a text string as input and simply outputs if the string is mean or nice with about 96.5% accuracy. It also provides you with a score of how positive or negative it is.</centre>",
                      article="\nRSA v0.1.2: @2.29M Params w/ 96.5% acc. & 388MB dataset + 1.59MB output dataset. Trained on <a href='https://www.kaggle.com/datasets/ilhamfp31/yelp-review-dataset'>this Kaggle dataset</a>",