Update app.py

app.py

@@ -1459,7 +1459,8 @@ async def study_mode_process(file, api_service, api_key):
 with gr.Blocks(
     title="Lectūra AI",
     css="""
-    h3 {text-align: center; color: #000 !important;}
+    .gradio-container-5-32-0 .prose * {color: #fd7b00 !important;}
+    h2, h3 {text-align: center; color: #000 !important;}
     .gradio-container-5-29-0 .prose :last-child {color: #fff !important; }
     #lecture-container {font-family: 'Times New Roman', Times, serif;}
     #slide-content {font-size: 48px; line-height: 1.2;}
@@ -1508,8 +1509,9 @@ with gr.Blocks(
     js=js_code,
     head='<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css">'
 ) as demo:
-    gr.Markdown("""
-                ### <center>Lectūra: Your AI Genie for Self-taught Mastery.</center>""")
+    gr.Markdown("""## <center>Lectūra: Your AI Genie for Self-taught Mastery.</center>""")
+    gr.Markdown("""### <center>(Disclaimer: This demo is part of a submission to the AgentX – LLM Agents MOOC Competition, hosted by Berkeley RDI. © Lectūra Labs. All rights reserved)</center>""")
+    gr.Markdown("""### <center>Note: Genarating lecture speech takes a while, given that this demo is running on cpu. Recommend limit number of slides to 3 on cpu. For faster generation, please run the app with access to GPU.</center>""")
     
     # Add mode tabs
     with gr.Row():
@@ -2026,8 +2028,6 @@ with gr.Blocks(
         initializeSpeakerSelect();
         initializeNoteEditor();
     }
-
-    // Check immediately and also set up an observer
     initializeComponents();
     
     const observer = new MutationObserver((mutations) => {