Update app.py

app.py

@@ -1,7 +1,11 @@
 import streamlit as st
 from transformers import pipeline
+from transformers import AutoModelForCasualLM, AutoTokenizer
 
-summarizer = pipeline('summarization', model="knkarthick/MEETING_SUMMARY")
+tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom")
+model_use = AutoModelForCasualLM.from_pretrained("bigscience/bloom", device_map="auto", torch_dtype="auto",)
+
+summarizer = pipeline('summarization', model=model_use)
 
 st.title("Text Summarization")
 st.write("""##### This demo summarizes a given text. :sunglasses:""")