Update app.py

app.py

@@ -1,6 +1,6 @@
 # Lectūra Research Demo: A Multi-Agent Tool for Self-taught Mastery.
 # Author: Jaward Sesay
-# © Lectūra Labs. All rights reserved.
+# License: All rights reserved.
 import os
 import json
 import re
@@ -975,14 +975,6 @@ Example: 'Received {total_slides} slides, {total_slides} scripts, and HTML files
 
 # custom js
 js_code = """
-function refresh() {
-    const url = new URL(window.location);
-
-    if (url.searchParams.get('__theme') !== 'light') {
-        url.searchParams.set('__theme', 'light');
-        window.location.href = url.href;
-    }
-}
 () => {
     // Function to wait for an element to appear in the DOM
 window.addEventListener('load', function () {
@@ -1467,7 +1459,7 @@ async def study_mode_process(file, api_service, api_key):
 with gr.Blocks(
     title="Lectūra AI",
     css="""
-    h1, h2, h3, {text-align: center;}
+    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;}
@@ -1511,18 +1503,13 @@ with gr.Blocks(
     #chat-input-row {align-items: center !important;}
     .gradio-container { background-color: white !important; color: black !important;}
     main {max-width: fit-content !important}
-    .gradio-container.gradio-container-5-32-0 .contain #component-36 {
-    height: 460px !important;
-}
+    #component-36 {height: 460px !important}
     """,
     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>(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>""")
+                ### <center>Lectūra: Your AI Genie for Self-taught Mastery.</center>""")
     
     # Add mode tabs
     with gr.Row():
@@ -1599,7 +1586,7 @@ with gr.Blocks(
             chat_history_state = gr.State([])  # List of {user, assistant}
 
             with gr.Row():
-                with gr.Column(scale=1, elem_id="notes-section"):
+                with gr.Column(scale=1, elem_id="notes-section"):  # NOTES SECTION (TOP)
                     with gr.Row():
                         add_note_btn = gr.Button("+ Add note", elem_id="add-note-btn")
                         study_guide_btn = gr.Button("Study Guide", elem_id="study-guide-btn")
@@ -1613,7 +1600,7 @@ with gr.Blocks(
                             save_note_btn = gr.Button("Save Note", elem_id="save-note-btn")
                             back_btn = gr.Button("Back", elem_id="back-btn")
 
-                with gr.Column(scale=1, elem_id="chat-section"):  
+                with gr.Column(scale=1, elem_id="chat-section"):  # CHAT SECTION (BOTTOM)
                     with gr.Column():
                         chatbot = gr.Chatbot(label="Chat", elem_id="chatbot", height=220, show_copy_button=True, type="messages")
                     with gr.Row(elem_id="chat-input-row"):