Create app.py

app.py

@@ -0,0 +1,60 @@
+from gradio_client import Client
+import gradio as gr
+import time
+
+def search_web(query):
+    try:
+        start_time = time.time()
+        
+        # Initialize client with increased timeout
+        client = Client(
+            "Ifeanyi/Web-Search-MCP",
+            timeout=60
+        )
+        
+        # Make the API call (using positional argument as in working examples)
+        result = client.predict(
+            query,  # Positional argument
+            api_name="/webSearch"
+        )
+        
+        response_time = (time.time() - start_time) * 1000
+        
+        return (
+            {"result": result},
+            f"{response_time:.2f} ms",
+            "✅ Success"
+        )
+        
+    except Exception as e:
+        return (
+            {"error": str(e)},
+            "0 ms",
+            "❌ Failed"
+        )
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Web Search Interface")
+    
+    with gr.Row():
+        with gr.Column():
+            query_input = gr.Textbox(
+                label="Enter your search query",
+                placeholder="Type your question here...",
+                lines=3
+            )
+            search_btn = gr.Button("Search", variant="primary")
+        
+        with gr.Column():
+            output_json = gr.JSON(label="Search Results")
+            response_time = gr.Textbox(label="Response Time")
+            status = gr.Textbox(label="Status")
+
+    search_btn.click(
+        fn=search_web,
+        inputs=query_input,
+        outputs=[output_json, response_time, status]
+    )
+
+if __name__ == "__main__":
+    demo.launch()