Update app.py

app.py

@@ -84,7 +84,7 @@ import time
 with st.spinner('Wait for it...'):
     time.sleep(5)
     if text is not None:
-        token_classifier = pipeline(model="dslim/bert-large-NER", aggregation_strategy="simple")
+        token_classifier = pipeline(model="dslim/bert-base-NER", aggregation_strategy="simple")
         tokens = token_classifier(text)
         df = pd.DataFrame(tokens)