correction

app.py

@@ -11,20 +11,9 @@ def predict(prompt,model_name, max_length):
         model_name = "google/pegasus-xsum"
     else:
         model_name = model_name_converter[model_name]
-    print('la')
-    print(model_name)
-    print(max_length)
     model = pipeline("summarization",model = model_name)
     summary = model(prompt,max_length)[0]["summary_text"]
     return summary
-
-def extract_model(option):
-        if option ==None:
-            model_name = "google/pegasus-xsum"
-        else:
-            model_name = model_name_converter[option]
-             
-        return print(model_name)
         
 options_1 = model_name_converter.keys()
 with gr.Blocks() as demo: