Update app.py

app.py

@@ -395,125 +395,118 @@ def ui_upload_memories_action_fn(uploaded_file_obj, progress=gr.Progress()):
     logger.info(msg); return msg
 
 # --- UI Definition ---
+# Using the CSS from the "AI Code & Space Generator" example
 custom_theme = gr.themes.Base(
     primary_hue="teal",
     secondary_hue="purple",
     neutral_hue="zinc",
-    text_size="sm", 
-    spacing_size="md", 
+    text_size="sm",
+    spacing_size="md",
     radius_size="sm",
-    font=[gr.themes.GoogleFont("Inter"), "System UI", "sans-serif"]
+    font=["System UI", "sans-serif"] # Base font
 )
 
-# Adjusted CSS for better layout control and scrolling
 custom_css = """
-body, html { margin: 0; padding: 0; height: 100%; overflow-x: hidden; /* Prevent horizontal scroll on body */ }
-body { background: linear-gradient(to bottom right, #2c3e50, #34495e); color: #ecf0f1; font-family: 'Inter', 'System UI', sans-serif;}
-.gradio-container { background: transparent !important; max-width: 100% !important; padding: 0 !important; /* Remove container padding */ box-sizing: border-box; min-height: 100vh; display: flex; flex-direction: column; overflow: hidden !important; /* Gradio container should not scroll itself */ }
-.main-app-content-wrapper { padding: 1rem; overflow-y: auto; flex-grow: 1; /* This makes the content area scrollable */ }
-.gr-block.gr-group, .gr-tabs, .gr-accordion { background-color: rgba(44, 62, 80, 0.85) !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; border-radius: 8px !important; box-shadow: 0 3px 5px rgba(0,0,0,0.15); margin-bottom: 1em; padding: 1em; }
-.gr-tabitem { background-color: rgba(52, 73, 94, 0.8) !important; border-radius: 6px !important; padding: 1em !important; border: 1px solid rgba(189, 195, 199, 0.1) !important;}
-.gr-textbox, .gr-dropdown, .gr-button, .gr-code, .gr-chat-message, .gr-json, .gr-file input[type="file"], .gr-file button { border: 1px solid rgba(189, 195, 199, 0.3) !important; background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border-radius: 6px !important;}
-.gr-file { background-color: transparent !important; border: none !important; padding:0 !important;}
-.gr-file > .label-text { color: #bdc3c7 !important;}
-.gr-textarea textarea, .gr-textbox input { color: #ecf0f1 !important; background-color: transparent !important; }
+body, html { margin: 0 !important; padding: 0 !important; height: 100%; overflow-y: auto !important; /* Ensure body can scroll */ }
+body { background: linear-gradient(to bottom right, #2c3e50, #34495e); color: #ecf0f1; font-family: 'System UI', sans-serif; }
+.gradio-container { background: transparent !important; max-width: 100% !important; padding: 1em !important; /* Add some padding to the main container */ box-sizing: border-box; min-height: 100vh; display: flex; flex-direction: column;}
+.gr-block.gr-group, .gr-tabs, .gr-accordion { background-color: rgba(44, 62, 80, 0.8) !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; border-radius: 8px !important; padding: 1em; margin-bottom: 1em;}
+.gr-tabitem { background-color: rgba(52, 73, 94, 0.75) !important; border-radius: 6px !important; padding: 1em !important; border: 1px solid rgba(189, 195, 199, 0.1) !important;}
+.gr-textbox, .gr-dropdown, .gr-button, .gr-code, .gr-chat-message, .gr-json, .gr-file input[type="file"], .gr-file button { border-color: rgba(189, 195, 199, 0.3) !important; background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border-radius: 6px !important;}
+.gr-textarea textarea, .gr-textbox input { color: #ecf0f1 !important; }
 .gr-button.gr-button-primary { background-color: #1abc9c !important; color: white !important; border-color: #16a085 !important; }
-.gr-button.gr-button-secondary { background-color: #9b59b6 !important; color: white !important; border-color: #8e44ad !important; }
-.gr-button.gr-button-stop { background-color: #e74c3c !important; color: white !important; border-color: #c0392b !important; }
-.gr-markdown { padding: 5px; } 
-.gr-markdown h1, .gr-markdown h2, .gr-markdown h3 { color: #1abc9c !important; border-bottom: 1px solid rgba(189, 195, 199, 0.2) !important; padding-bottom: 0.3em; margin-top:0.5em; margin-bottom: 0.5em; }
-.gr-markdown p, .gr-markdown li { color: #ecf0f1 !important; line-height:1.6;}
-.gr-markdown pre code { background-color: rgba(30, 40, 50, 0.95) !important; border: 1px solid rgba(189, 195, 199, 0.3) !important; color: #ecf0f1; border-radius: 4px; padding: 0.8em; }
-.gr-chatbot { background-color: rgba(44, 62, 80, 0.7) !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; }
-.gr-chatbot .message { background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; box-shadow: 0 1px 2px rgba(0,0,0,0.1) !important; }
-.gr-chatbot .message.user { background-color: rgba(46, 204, 113, 0.8) !important; color: #2c3e50 !important; }
-.gr-input-label > .label-text, .gr-dropdown-label > .label-text, .gr-checkbox-label > .label-text { color: #bdc3c7 !important; font-size: 0.9rem !important; margin-bottom: 0.2rem !important; }
-.gr-info { color: #bdc3c7 !important; font-size: 0.85rem !important; }
-.status-bar { background-color: rgba(44, 62, 80, 0.8) !important; padding: 0.75rem 1rem !important; border-radius: 8px; margin-bottom: 1rem; }
-.tabnav button { background-color: rgba(52, 73, 94, 0.8) !important; color: #ecf0f1 !important; border-bottom: 3px solid transparent !important; border-top-left-radius: 6px !important; border-top-right-radius: 6px !important; margin-right: 3px !important; padding: 0.6em 1.2em !important; font-weight: 500;}
-.tabnav button.selected { background-color: rgba(44, 62, 80, 0.95) !important; color: #1abc9c !important; border-bottom: 3px solid #1abc9c !important;}
-.main-title { text-align: center; margin: 0 0 0.25rem 0 !important; padding-top: 0.5rem !important; color: #ecf0f1 !important; font-size: 2rem !important;} /* Added padding-top */
-.main-subtitle { text-align: center; color: #bdc3c7; font-size: 1rem; margin: 0 0 1rem 0 !important; }
-.sidebar-column { max-height: calc(100vh - 10rem); overflow-y: auto; /* Make sidebar scrollable if content exceeds height */ }
-.main-content-column { max-height: calc(100vh - 10rem); overflow-y: auto; /* Make main content scrollable */ }
+.gr-button.gr-button-secondary { background-color: #9b59b6 !important; color: white !important; border-color: #8e44ad !important;}
+.gr-button.gr-button-stop { background-color: #e74c3c !important; color: white !important; border-color: #c0392b !important;}
+.gr-markdown { padding: 10px; border-radius: 5px; /* Retain some original markdown styling if it's standalone */ }
+.gr-group .gr-markdown { padding: 0px; background-color: transparent !important; } /* Markdown inside group is transparent */
+.gr-markdown h1, .gr-markdown h2, .gr-markdown h3 { color: #ecf0f1 !important; border-bottom-color: rgba(189, 195, 199, 0.3) !important; margin-top: 0.5em; margin-bottom: 0.5em;}
+.gr-markdown h1 {font-size: 1.5rem;} .gr-markdown h2 {font-size: 1.25rem;} .gr-markdown h3 {font-size: 1.1rem;}
+.gr-markdown p, .gr-markdown li { color: #ecf0f1 !important; }
+.gr-markdown pre code { background-color: rgba(52, 73, 94, 0.95) !important; border-color: rgba(189, 195, 199, 0.3) !important; }
+.gr-chatbot { background-color: rgba(44, 62, 80, 0.7) !important; border-color: rgba(189, 195, 199, 0.2) !important; }
+.gr-chatbot .message { background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border-color: rgba(189, 195, 199, 0.3) !important; }
+.gr-chatbot .message.user { background-color: rgba(46, 204, 113, 0.9) !important; color: black !important; }
+.gr-input-label > .label-text, .gr-dropdown-label > .label-text { color: #bdc3c7 !important; }
+.status-bar { padding: 0.5rem 1rem; border-radius: 6px; margin-bottom: 1rem; background-color: rgba(44, 62, 80, 0.8) !important; }
+.tabnav button { background-color: rgba(52, 73, 94, 0.8) !important; color: #ecf0f1 !important; border-bottom: 2px solid transparent !important; border-top-left-radius: 6px !important; border-top-right-radius: 6px !important;}
+.tabnav button.selected { background-color: rgba(44, 62, 80, 0.95) !important; color: #1abc9c !important; border-bottom: 2px solid #1abc9c !important;}
+#app-title { text-align: center; color: #ecf0f1; font-size: 1.8rem; margin: 0.5em 0 0.2em 0;}
+#app-subtitle { text-align: center; color: #bdc3c7; font-size: 0.9rem; margin-bottom: 1em;}
+.sidebar { padding-right: 1em; } /* Add some spacing for sidebar */
+.main-content { flex-grow: 1; display: flex; flex-direction: column; }
+.chat-area { flex-grow: 1; display: flex; flex-direction: column; }
+.chat-output-area { flex-grow: 1; }
 """
 
-with gr.Blocks(theme=custom_theme, css=custom_css, title="AI Research Agent v5.6") as demo:
-    gr.HTML("<style>" + custom_css + "</style>")
-
-    with gr.Column(elem_classes="main-app-content-wrapper"): # This outer column will handle overall page scroll
-        gr.Markdown("# 🤖 AI Research Agent", elem_classes="main-title")
-        gr.Markdown("Configure AI, chat for research, and manage its knowledge base.", elem_classes="main-subtitle")
-        
-        avail_provs = get_available_providers()
-        def_prov = avail_provs[0] if avail_provs else None
-        def_models = get_model_display_names_for_provider(def_prov) if def_prov else []
-        def_model_disp = get_default_model_display_name_for_provider(def_prov) if def_prov else None
-        
-        with gr.Row(elem_classes="status-bar"):
-            with gr.Column(scale=3): agent_stat_tb = gr.Textbox(label="Agent Status", interactive=False, lines=1, value="Initializing systems...")
-            with gr.Column(scale=1): memory_backend_info_tb = gr.Textbox(label="Memory Backend", value=f"{MEMORY_STORAGE_BACKEND}", interactive=False)
-            if MEMORY_STORAGE_BACKEND == "SQLITE":
-                with gr.Column(scale=2): gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False)
-            elif MEMORY_STORAGE_BACKEND == "HF_DATASET":
-                with gr.Column(scale=2): gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False)
+with gr.Blocks(theme=custom_theme, css=custom_css, title="AI Research Agent v5.7") as demo:
+    gr.Markdown("# 🤖 AI Research Agent", elem_id="app-title") # Using elem_id for specific title styling
+    gr.Markdown("Configure settings, chat with AI for research, and manage its knowledge.", elem_id="app-subtitle")
+    
+    avail_provs = get_available_providers()
+    def_prov = avail_provs[0] if avail_provs else None
+    def_models = get_model_display_names_for_provider(def_prov) if def_prov else []
+    def_model_disp = get_default_model_display_name_for_provider(def_prov) if def_prov else None
+    
+    with gr.Row(elem_classes="status-bar"):
+        with gr.Column(scale=3): agent_stat_tb = gr.Textbox(label="Agent Status", interactive=False, value="Initializing...", lines=1)
+        with gr.Column(scale=1): memory_backend_info_tb = gr.Textbox(label="Memory Backend", value=f"{MEMORY_STORAGE_BACKEND}", interactive=False, lines=1)
+        # Conditional display for backend path info
+        sqlite_path_display = gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False, visible=(MEMORY_STORAGE_BACKEND == "SQLITE"))
+        hf_repos_display = gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False, visible=(MEMORY_STORAGE_BACKEND == "HF_DATASET"))
 
-        with gr.Row(equal_height=False): 
-            with gr.Column(scale=1, min_width=360, elem_classes="sidebar-column"): 
-                gr.Markdown("## ⚙️ Configuration")
-                with gr.Group():
-                    gr.Markdown("### AI Model Settings")
-                    api_key_tb = gr.Textbox(label="AI Provider API Key (Optional Override)", type="password", placeholder="Paste key or use .env")
-                    prov_sel_dd = gr.Dropdown(label="AI Provider", choices=avail_provs, value=def_prov, interactive=True)
-                    model_sel_dd = gr.Dropdown(label="AI Model", choices=def_models, value=def_model_disp, interactive=True)
-                with gr.Group():
-                    gr.Markdown("### System Prompt")
-                    sys_prompt_tb = gr.Textbox(label="System Prompt Base", lines=12, value=DEFAULT_SYSTEM_PROMPT, interactive=True)
-                gr.Markdown(f"**Memory Backend:** {MEMORY_STORAGE_BACKEND}")
-                if MEMORY_STORAGE_BACKEND == "RAM":
-                    save_faiss_sidebar_btn = gr.Button("Save FAISS Indices", variant="secondary")
+    with gr.Row(equal_height=False):
+        with gr.Column(scale=1, min_width=360, elem_classes="sidebar"): # This is the single sidebar
+            gr.Markdown("## ⚙️ Configuration")
+            with gr.Group():
+                gr.Markdown("### API & Model Settings")
+                api_key_tb = gr.Textbox(label="AI Provider API Key (Override)", type="password", placeholder="Uses .env if blank")
+                prov_sel_dd = gr.Dropdown(label="AI Provider", choices=avail_provs, value=def_prov, interactive=True)
+                model_sel_dd = gr.Dropdown(label="AI Model", choices=def_models, value=def_model_disp, interactive=True)
+            with gr.Group():
+                gr.Markdown("### System Prompt")
+                sys_prompt_tb = gr.Textbox(label="System Prompt Base", lines=10, value=DEFAULT_SYSTEM_PROMPT, interactive=True)
+            if MEMORY_STORAGE_BACKEND == "RAM":
+                save_faiss_sidebar_btn = gr.Button("Save FAISS Indices", variant="secondary")
 
-            with gr.Column(scale=2, elem_classes="main-content-column"):
-                with gr.Tabs():
-                    with gr.TabItem("💬 AI Chat & Research Output"):
-                        gr.Markdown("## 💬 AI Chat Interface")
-                        main_chat_disp = gr.Chatbot(label="AI Research Chat", height=500, bubble_full_width=False, avatar_images=(None, "https://raw.githubusercontent.com/huggingface/brand-assets/main/hf-logo-with-title.png"), show_copy_button=True, render_markdown=True, sanitize_html=True)
+        with gr.Column(scale=2, elem_classes="main-content"): # Main content area
+            with gr.Tabs():
+                with gr.TabItem("💬 AI Chat & Research"):
+                    with gr.Column(elem_classes="chat-area"): # Make chat area flexible
+                        gr.Markdown("### AI Chat Interface")
+                        main_chat_disp = gr.Chatbot(label="AI Research Chat", height=500, elem_classes="chat-output-area", bubble_full_width=False, avatar_images=(None, "https://raw.githubusercontent.com/huggingface/brand-assets/main/hf-logo-with-title.png"), show_copy_button=True, render_markdown=True, sanitize_html=True)
                         with gr.Row():
-                            user_msg_tb = gr.Textbox(show_label=False, placeholder="Ask your research question or give an instruction...", scale=7, lines=1, max_lines=5, autofocus=True)
+                            user_msg_tb = gr.Textbox(show_label=False, placeholder="Ask your research question...", scale=7, lines=1, max_lines=5, autofocus=True)
                             send_btn = gr.Button("Send", variant="primary", scale=1, min_width=100)
-                        with gr.Accordion("📝 Full Response / Output Details", open=True):
-                            fmt_report_tb = gr.Textbox(label="Full AI Response", lines=10, interactive=True, show_copy_button=True, value="*AI responses will appear here...*")
-                            dl_report_btn = gr.DownloadButton("Download Report", interactive=False, visible=False) 
-                        detect_out_md = gr.Markdown("*Insights used or other intermediate details will show here...*")
+                    with gr.Accordion("📝 Full Response / Details", open=False):
+                        fmt_report_tb = gr.Textbox(label="Full AI Response", lines=10, interactive=True, show_copy_button=True)
+                        dl_report_btn = gr.DownloadButton(value="Download Report", interactive=False, visible=False) 
+                    detect_out_md = gr.Markdown()
 
-                    with gr.TabItem("🧠 Knowledge Base Management"):
-                        gr.Markdown("## Manage Stored Knowledge")
-                        with gr.Row(equal_height=False):
-                            with gr.Column(scale=1):
-                                with gr.Group():
-                                    gr.Markdown("### 📜 Rules (Learned Insights)")
-                                    rules_disp_ta = gr.TextArea(label="View/Edit Rules", lines=15, interactive=True, placeholder="Load or type rules here (one per line or '---' separated for multiple).")
-                                    with gr.Row():
-                                        view_rules_btn = gr.Button("🔄 Load/Refresh Rules"); save_edited_rules_btn = gr.Button("💾 Save Edited Rules", variant="primary")
-                                    upload_rules_fobj = gr.File(label="Upload Rules File (.txt/.jsonl)", file_types=[".txt", ".jsonl"])
-                                    rules_stat_tb = gr.Textbox(label="Rules Operation Status", interactive=False, lines=2, placeholder="Status...")
-                                    with gr.Row(): clear_rules_btn = gr.Button("⚠️ Clear All Rules", variant="stop")
-                                    
-                            with gr.Column(scale=1): # This was nested incorrectly before
-                                with gr.Group():
-                                    gr.Markdown("### 📚 Memories (Past Interactions)")
-                                    mems_disp_json = gr.JSON(label="View Memories (JSON format)") 
-                                    with gr.Row(): view_mems_btn = gr.Button("🔄 Load/Refresh Memories")
-                                    upload_mems_fobj = gr.File(label="Upload Memories File (.jsonl)", file_types=[".jsonl"])
-                                    mems_stat_tb = gr.Textbox(label="Memories Operation Status", interactive=False, lines=2, placeholder="Status...")
-                                    clear_mems_btn = gr.Button("⚠️ Clear All Memories", variant="stop")
+                with gr.TabItem("🧠 Knowledge Base"):
+                    gr.Markdown("## Manage Stored Knowledge")
+                    with gr.Row():
+                        with gr.Column():
+                            with gr.Group():
+                                gr.Markdown("### 📜 Rules (Insights)")
+                                rules_disp_ta = gr.TextArea(label="View/Edit Rules", lines=15, interactive=True, placeholder="Load rules or type new ones...")
+                                with gr.Row(): view_rules_btn = gr.Button("🔄 Load"); save_edited_rules_btn = gr.Button("💾 Save Edits", variant="primary")
+                                upload_rules_fobj = gr.File(label="Upload Rules File (.txt/.jsonl)", file_types=[".txt", ".jsonl"])
+                                rules_stat_tb = gr.Textbox(label="Rules Status", interactive=False, lines=2)
+                                clear_rules_btn = gr.Button("⚠️ Clear All Rules", variant="stop")
+                        with gr.Column():
+                            with gr.Group():
+                                gr.Markdown("### 📚 Memories")
+                                mems_disp_json = gr.JSON(label="View Memories") 
+                                view_mems_btn = gr.Button("🔄 Load Memories")
+                                upload_mems_fobj = gr.File(label="Upload Memories File (.jsonl)", file_types=[".jsonl"])
+                                mems_stat_tb = gr.Textbox(label="Memories Status", interactive=False, lines=2)
+                                clear_mems_btn = gr.Button("⚠️ Clear All Memories", variant="stop")
     
     def dyn_upd_model_dd(sel_prov_dyn:str): models_dyn, def_model_dyn = get_model_display_names_for_provider(sel_prov_dyn), get_default_model_display_name_for_provider(sel_prov_dyn); return gr.Dropdown(choices=models_dyn, value=def_model_dyn, interactive=True)
     prov_sel_dd.change(fn=dyn_upd_model_dd, inputs=prov_sel_dd, outputs=model_sel_dd)
     chat_ins = [user_msg_tb, main_chat_disp, prov_sel_dd, model_sel_dd, api_key_tb, sys_prompt_tb]
     chat_outs = [user_msg_tb, main_chat_disp, agent_stat_tb, detect_out_md, fmt_report_tb, dl_report_btn]
     send_btn.click(fn=handle_gradio_chat_submit, inputs=chat_ins, outputs=chat_outs); user_msg_tb.submit(fn=handle_gradio_chat_submit, inputs=chat_ins, outputs=chat_outs)
-    
     view_rules_btn.click(fn=ui_view_rules_action_fn, outputs=rules_disp_ta)
     def save_edited_rules_action_fn(edited_rules_text: str, progress=gr.Progress()):
         if not edited_rules_text.strip(): return "No rules text to save."
@@ -531,18 +524,14 @@ with gr.Blocks(theme=custom_theme, css=custom_css, title="AI Research Agent v5.6
             progress((idx+1)/total)
         return f"Editor Save: Added: {added}, Skipped (duplicates): {skipped}, Errors/Invalid: {errors}."
     save_edited_rules_btn.click(fn=save_edited_rules_action_fn, inputs=[rules_disp_ta], outputs=[rules_stat_tb], show_progress="full").then(fn=ui_view_rules_action_fn, outputs=rules_disp_ta)
-
     upload_rules_fobj.upload(fn=ui_upload_rules_action_fn, inputs=[upload_rules_fobj], outputs=[rules_stat_tb], show_progress="full").then(fn=ui_view_rules_action_fn, outputs=rules_disp_ta)
     clear_rules_btn.click(fn=lambda: "All rules cleared." if clear_all_rules_data_backend() else "Error clearing rules.", outputs=rules_stat_tb).then(fn=ui_view_rules_action_fn, outputs=rules_disp_ta)
-    
-    if MEMORY_STORAGE_BACKEND == "RAM" and 'save_faiss_sidebar_btn' in locals() and save_faiss_sidebar_btn is not None: # Check button in sidebar
-        def save_faiss_action_with_feedback_sidebar_fn(): save_faiss_indices_to_disk(); gr.Info("Attempted to save FAISS indices to disk (Sidebar).")
+    if MEMORY_STORAGE_BACKEND == "RAM" and 'save_faiss_sidebar_btn' in locals() and save_faiss_sidebar_btn is not None:
+        def save_faiss_action_with_feedback_sidebar_fn(): save_faiss_indices_to_disk(); gr.Info("Attempted to save FAISS indices to disk.")
         save_faiss_sidebar_btn.click(fn=save_faiss_action_with_feedback_sidebar_fn, inputs=None, outputs=None)
-    
     view_mems_btn.click(fn=ui_view_memories_action_fn, outputs=mems_disp_json)
     upload_mems_fobj.upload(fn=ui_upload_memories_action_fn, inputs=[upload_mems_fobj], outputs=[mems_stat_tb], show_progress="full").then(fn=ui_view_memories_action_fn, outputs=mems_disp_json)
     clear_mems_btn.click(fn=lambda: "All memories cleared." if clear_all_memory_data_backend() else "Error clearing memories.", outputs=mems_stat_tb).then(fn=ui_view_memories_action_fn, outputs=mems_disp_json)
-    
     def app_load_fn(): 
         initialize_memory_system()
         logger.info("App loaded. Memory system initialized.")
@@ -550,11 +539,10 @@ with gr.Blocks(theme=custom_theme, css=custom_css, title="AI Research Agent v5.6
         rules_on_load = ui_view_rules_action_fn()
         mems_on_load = ui_view_memories_action_fn()
         return backend_status, rules_on_load, mems_on_load
-
     demo.load(fn=app_load_fn, inputs=None, outputs=[agent_stat_tb, rules_disp_ta, mems_disp_json])
 
 if __name__ == "__main__":
-    logger.info(f"Starting Gradio AI Research Mega Agent (v5.6 - UI Layout Fix, Memory: {MEMORY_STORAGE_BACKEND})...")
+    logger.info(f"Starting Gradio AI Research Mega Agent (v5.7 - UI Scroll Fix Attempt, Memory: {MEMORY_STORAGE_BACKEND})...")
     app_port, app_server = int(os.getenv("GRADIO_PORT", 7860)), os.getenv("GRADIO_SERVER_NAME", "127.0.0.1")
     app_debug, app_share = os.getenv("GRADIO_DEBUG", "False").lower()=="true", os.getenv("GRADIO_SHARE", "False").lower()=="true"
     logger.info(f"Launching Gradio server: http://{app_server}:{app_port}. Debug: {app_debug}, Share: {app_share}")