Update app.py

app.py

@@ -6,6 +6,9 @@ model_name = 'gpt2-large'
 tokenizer = GPT2Tokenizer.from_pretrained(model_name)
 model = GPT2LMHeadModel.from_pretrained(model_name)
 
+# Set the title for the Streamlit app
+st.title("GPT-2 Blog Post Generator")
+
 # Text input for the user
 text = st.text_area("Enter your Topic: ")
 
@@ -26,11 +29,17 @@ if text:
 
         # Decode generated text
         generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
-        st.json(generated_text)
+
+        # Display the generated text
+        st.subheader("Generated Blog Post")
+        st.write(generated_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.
+    """)
+
+# Streamlit instructions
+st.write("To run this app, use the command: `streamlit run <script_name>.py`")