Update app.py

app.py

@@ -16,16 +16,16 @@
 # t1=st.text_input("Enter the Text for Summarization")
 # st.write(summarizer(t1))
 
-from transformers import AutoTokenizer, AutoModel
+#from transformers import AutoTokenizer, AutoModel
 import streamlit as st
 
-tokenizer = AutoTokenizer.from_pretrained("llmware/industry-bert-insurance-v0.1")
+#tokenizer = AutoTokenizer.from_pretrained("llmware/industry-bert-insurance-v0.1")
 
-model = AutoModel.from_pretrained("llmware/industry-bert-insurance-v0.1")
+#model = AutoModel.from_pretrained("llmware/industry-bert-insurance-v0.1")
 # Use a pipeline as a high-level helper
 from transformers import pipeline
 
-pipe = pipeline("feature-extraction", model="llmware/industry-bert-insurance-v0.1")
+pipe = pipeline("feature-extraction")
    
 t=st.text_input("Enter the Text")
 st.write(pipe(t))