Update app.py

app.py

@@ -7,7 +7,7 @@ text_pipe = pipeline("text-classification", model="karalif/myTestModel", return_
 def predict(text):
     greeting_pattern = r"^(Halló|Hæ|Sæl|Góðan dag|Kær kveðja|Daginn|Kvöldið|Ágætis|Elsku)"
     
-    greeting_feedback = " test 1 "
+    greeting_feedback = ""
     
     results = text_pipe(text)
     all_scores = results[0]
@@ -37,7 +37,6 @@ description_html = """
         <img src='http://www.ru.is/media/HR_logo_vinstri_transparent.png' width='250' height='auto'>
     </center>
     """
-textbox = gr.Textbox()
 
 demo = gr.Interface(
     fn=predict,