Update app.py

app.py

@@ -1,17 +1,7 @@
-from pathlib import Path
-from typing import List, Dict, Tuple
-
-import seaborn as sns
-from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
-
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 from transformers import TextClassificationPipeline
 
-sns.set_theme()
-
-www_dir = Path(__file__).parent.resolve() / "www"
-
-def server(input: Inputs, output: Outputs, session: Session):
+def classification(input: Inputs):
     model_name = 'lincoln/flaubert-mlsum-topic-classification'
     
     loaded_tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -23,5 +13,7 @@ def server(input: Inputs, output: Outputs, session: Session):
 
 
 app = App(
+    print('Processing')
     Inputs = "Le Bayern Munich prend la grenadine.",
-    server)
+    classification(Inputs)
+)