Update app.py

app.py

@@ -8,7 +8,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
 # Streamlit app
-st.title("Formatted Blog Post Generator")
+st.title("Blog Post Generator")
 
 # User input
 topic = st.text_input("Enter a blog post topic:")
@@ -16,15 +16,7 @@ max_length = st.slider("Maximum length of generated text:", min_value=100, max_v
 
 if topic:
     # Construct a detailed prompt
-    prompt = f"""Write a well-formatted blog post about {topic}. Use the following structure:
-
-1. Start with a main title using a single '#' symbol.
-2. Include an introduction paragraph.
-3. Use '##' for subheadings.
-
-5. Separate paragraphs with blank lines.
-6. End with a conclusion paragraph.
-
+    prompt = f"""Write a well-formatted blog post about {topic}. 
 Here's the blog post:
 
 # """