ai: High quality of Deep Search result.

jarvis.py

@@ -47,7 +47,7 @@ LINUX_SERVER_PROVIDER_KEYS_ATTEMPTS = {}
 
 LINUX_SERVER_ERRORS = set(map(int, os.getenv("LINUX_SERVER_ERROR", "").split(",")))
 
-AI_TYPES = {f"AI_TYPE_{i}": os.getenv(f"AI_TYPE_{i}") for i in range(1, 9)}
+AI_TYPES = {f"AI_TYPE_{i}": os.getenv(f"AI_TYPE_{i}") for i in range(1, 10)}
 
 RESPONSES = {f"RESPONSE_{i}": os.getenv(f"RESPONSE_{i}") for i in range(1, 11)}
 
@@ -259,8 +259,8 @@ async def chat_with_model_async(history, user_input, model_display, sess, custom
                     "query": user_input,
                     "topic": "general",
                     "search_depth": "basic",
-                    "chunks_per_source": 3,
-                    "max_results": 1,
+                    "chunks_per_source": 5,
+                    "max_results": 5,
                     "time_range": None,
                     "days": 7,
                     "include_answer": True,
@@ -382,7 +382,7 @@ with gr.Blocks(fill_height=True, fill_width=True, title=AI_TYPES["AI_TYPE_4"], h
     selected_model = gr.State(MODEL_CHOICES[0] if MODEL_CHOICES else "")
     J_A_R_V_I_S = gr.State("")
     chatbot = gr.Chatbot(label=AI_TYPES["AI_TYPE_1"], show_copy_button=True, scale=1, elem_id=AI_TYPES["AI_TYPE_2"], examples=JARVIS_INIT)
-    deep_search = gr.Checkbox(label=AI_TYPES["AI_TYPE_8"], value=False, visible=True)
+    deep_search = gr.Checkbox(label=AI_TYPES["AI_TYPE_8"], value=False, info=AI_TYPES["AI_TYPE_9"], visible=True)
     msg = gr.MultimodalTextbox(show_label=False, placeholder=RESPONSES["RESPONSE_5"], interactive=True, file_count="single", file_types=ALLOWED_EXTENSIONS)
     with gr.Sidebar(open=False):
         model_radio = gr.Radio(show_label=False, choices=MODEL_CHOICES, value=MODEL_CHOICES[0])