Update app.py

app.py

@@ -80,13 +80,13 @@ if text is not None and len(tokens) > number:
   st.stop()
 
 
-
-if text is not None:
-    token_classifier = pipeline(model="xlm-roberta-large-finetuned-conll03-english", aggregation_strategy="simple")
-    
-    tokens = token_classifier(text)
-    
-    df = pd.DataFrame(tokens)
+import time
+with st.spinner('Wait for it...'):
+    time.sleep(5)
+    if text is not None:
+        token_classifier = pipeline(model="xlm-roberta-large-finetuned-conll03-english", aggregation_strategy="simple")
+        tokens = token_classifier(text)
+        df = pd.DataFrame(tokens)