Update app.py

app.py

@@ -431,13 +431,13 @@ body { background: linear-gradient(to bottom right, #2c3e50, #34495e); color: #e
 """
 
 with gr.Blocks(title="AI Research Agent v5.8") as demo:
-    with gr.Column():
-        gr.HTML("<h1> 🤖 AI Research Agent </h1>") 
-        with gr.Row():
-            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)
-            sqlite_path_display = gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False, scale=2) # Use visible
-            hf_repos_display = gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False, scale=2) # Use visible
+    
+    gr.HTML("<h1> 🤖 AI Research Agent </h1>") 
+    with gr.Row():
+        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)
+        sqlite_path_display = gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False, scale=2) # Use visible
+        hf_repos_display = gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False, scale=2) # Use visible
 
     avail_provs = get_available_providers()
     def_prov = avail_provs[0] if avail_provs else None
@@ -527,9 +527,9 @@ with gr.Blocks(title="AI Research Agent v5.8") as demo:
         # Initial visibility for conditional Textboxes based on backend
         vis_sqlite = MEMORY_STORAGE_BACKEND == "SQLITE"
         vis_hf = MEMORY_STORAGE_BACKEND == "HF_DATASET"
-        return backend_status, rules_on_load, mems_on_load, gr.update(visible=vis_sqlite), gr.update(visible=vis_hf)
+        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, sqlite_path_display, hf_repos_display])
+    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 (v5.8 - UI Style/Layout Update, Memory: {MEMORY_STORAGE_BACKEND})...")