Update app.py

app.py

@@ -1,9 +1,6 @@
 import streamlit as st
 from transformers import GPT2Tokenizer, GPT2LMHeadModel
 
-# Set the title of the Streamlit app
-st.title("GPT-2 Blog Post Generator")
-
 # Initialize the tokenizer and model
 model_name = 'gpt2-large'
 tokenizer = GPT2Tokenizer.from_pretrained(model_name)
@@ -36,7 +33,7 @@ if text:
     except Exception as e:
         st.error(f"An error occurred: {e}")
 
-# Add instructions
-st.write("""
-    Enter a topic or a starting sentence in the text area above, and the GPT-2 model will generate a blog post for you.
-    """)
+# # Add instructions
+# st.write("""
+#     Enter a topic or a starting sentence in the text area above, and the GPT-2 model will generate a blog post for you.
+#     """)