Update app.py

app.py

@@ -425,7 +425,7 @@ async def on_generate(api_service, api_key, serpapi_key, title, lecture_content_
         system_message=f"""
 You are a Slide Agent. Using the research from the conversation history and the specified number of content slides ({content_slides}), generate exactly {content_slides} content slides, plus an Introduction slide as the first slide and a Closing slide as the last slide, making a total of {total_slides} slides. 
 
-- The Introduction slide (first slide) should have the title "Introduction to {title}" and content containing only the lecture title, speaker name (Prof. AI Feynman), and date {date}, centered, in plain text.
+- The Introduction slide (first slide) should have the title "{title}" and content containing only the lecture title, speaker name (Prof. AI Feynman), and date {date}, centered, in plain text.
 - The Closing slide (last slide) should have the title "Closing" and content containing only "The End\nThank you", centered, in plain text.
 - The remaining {content_slides} slides should be content slides based on the lecture description and audience type, with meaningful titles and content in valid Markdown format.
 
@@ -435,7 +435,7 @@ Example output for 1 content slide (total 3 slides):
 ```json
 [
     {{"title": "Introduction to AI Basics", "content": "AI Basics\nProf. AI Feynman\nMay 2nd, 2025"}},
-    {{"title": "Slide 1: What is AI?", "content": "# What is AI?\n- Definition: Systems that mimic human intelligence\n- Key areas: ML, NLP, Robotics"}},
+    {{"title": "What is AI?", "content": "# What is AI?\n- Definition: Systems that mimic human intelligence\n- Key areas: ML, NLP, Robotics"}},
     {{"title": "Closing", "content": "The End\nThank you"}}
 ]
 ```""",