commit

app.py

@@ -17,11 +17,9 @@ def emotion_predict(input):
   elif rf_prediction == 'kata_kerja':
     return 'kata_kerja'
   elif rf_prediction == 'kata_keterangan':
-    return 'kata_keterangan'
-  elif rf_prediction == 'kata_sifat':
-    return 'kata_sifat'      
+    return 'kata_keterangan'      
   else:
-    return 'LOL😤'
+    return 'kata_sifat'
   
 
 def plot_fig(input):
@@ -55,10 +53,10 @@ with gr.Blocks() as app:
         """
     # PROLOVE 🎵
     This application classifies inputted audio 🔊 according to pronunciation into four categories:
-    1. kata_benda 😎
-    2. kata_kerja 😐
-    3. kata_keterangan 😢
-    4. kata_sifat 😤
+    1. kata_benda 
+    2. kata_kerja 
+    3. kata_keterangan 
+    4. kata_sifat 
     """
   )
   with gr.Tab("Record Audio"):