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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",
)
# Make the API call (using positional argument as in working examples)
result = client.predict(
prompt=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=10
)
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() |