wording: 2 seconds

app.py

@@ -67,7 +67,7 @@ async def search_web(
         - search_web("machine learning basics") - Get 4 general search results (all defaults)
     """
     start_time = time.time()
-    
+
     if not SERPER_API_KEY:
         await record_request()  # Record even failed requests
         return "Error: SERPER_API_KEY environment variable is not set. Please set it to use this tool."
@@ -191,11 +191,11 @@ async def search_web(
         print(
             f"[{datetime.now().isoformat()}] Extraction complete: {successful_extractions}/{len(results)} successful for query '{query}'"
         )
-        
+
         # Record successful request with duration
         duration = time.time() - start_time
         await record_request(duration)
-        
+
         return summary + result
 
     except Exception as e:
@@ -205,7 +205,6 @@ async def search_web(
         return f"Error occurred while searching: {str(e)}. Please try again or check your query."
 
 
-
 # Create Gradio interface
 with gr.Blocks(title="Web Search MCP Server") as demo:
     gr.HTML(
@@ -228,7 +227,7 @@ with gr.Blocks(title="Web Search MCP Server") as demo:
                 or specifically search for fresh news articles, extracting the main content from results.
                 
                 **⚡ Speed-Focused:** Optimized to complete the entire search process - from query to 
-                fully extracted web content - in under 3 seconds. Check out the Analytics tab 
+                fully extracted web content - in under 2 seconds. Check out the Analytics tab 
                 to see real-time performance metrics.
                 
                 **Search Types:**
@@ -304,12 +303,16 @@ with gr.Blocks(title="Web Search MCP Server") as demo:
 
         with gr.Tab("Analytics"):
             gr.Markdown("## Community Usage Analytics")
-            gr.Markdown("Track daily request counts and average response times from all community users.")
-            
+            gr.Markdown(
+                "Track daily request counts and average response times from all community users."
+            )
+
             with gr.Row():
                 with gr.Column():
                     requests_plot = gr.BarPlot(
-                        value=last_n_days_df(14),  # Show only last 14 days for better visibility
+                        value=last_n_days_df(
+                            14
+                        ),  # Show only last 14 days for better visibility
                         x="date",
                         y="count",
                         title="Daily Request Count",
@@ -318,7 +321,7 @@ with gr.Blocks(title="Web Search MCP Server") as demo:
                         x_label_angle=-45,  # Rotate labels to prevent overlap
                         container=False,
                     )
-                
+
                 with gr.Column():
                     avg_time_plot = gr.BarPlot(
                         value=last_n_days_avg_time_df(14),  # Show only last 14 days
@@ -340,9 +343,9 @@ with gr.Blocks(title="Web Search MCP Server") as demo:
 
     # Load fresh analytics data when the page loads or Analytics tab is clicked
     demo.load(
-        fn=lambda: (last_n_days_df(14), last_n_days_avg_time_df(14)), 
-        outputs=[requests_plot, avg_time_plot], 
-        api_name=False
+        fn=lambda: (last_n_days_df(14), last_n_days_avg_time_df(14)),
+        outputs=[requests_plot, avg_time_plot],
+        api_name=False,
     )
 
     # Expose search_web as the only MCP tool