Add app.py and requirements.txt

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 from transformers import BartTokenizer, TFBartForConditionalGeneration
-model_name = 'facebook-bart-large-cnn'
+
+model_name = 'facebook/bart-large-cnn'
 tokenizer = BartTokenizer.from_pretrained(model_name)
 model = TFBartForConditionalGeneration.from_pretrained(model_name)
 
@@ -17,4 +18,4 @@ if st.button('Summarize'):
         summary = summarize(user_input)
         st.write(summary)
     else:
-        st.write("Please enter some text to summarize.")
+        st.write("Please enter some text to summarize.")

requirements.txt

@@ -1,4 +1,3 @@
 tensorflow==2.17.0
 transformers==4.32.0
-keras==2.18.0
 streamlit==1.24.0