File size: 1,005 Bytes
ded7c37
7d707d7
11a5c67
ded7c37
 
7d707d7
ded7c37
 
 
 
 
 
 
 
1d49548
ded7c37
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
import gradio as gr
import requests

# 后端API地址(替换为你的实际地址)
BACKEND_URL = "https://dsbb0707-SpatialParse_back.hf.space/api/predict"

def call_backend(input_text):
    try:
        response = requests.post(
            BACKEND_URL,
            json={"data": [input_text]},
            timeout=10
        )
        if response.status_code == 200:
            result = response.json()["data"][0]
            return f"✅ {result['result']}\n⏰ {result['timestamp']}"
        return "❌ Backend Error"
    except Exception as e:
        return f"⚠️ Connection Error: {str(e)}"

with gr.Blocks() as demo:
    gr.Markdown("## Frontend Demo")
    with gr.Row():
        input_box = gr.Textbox(label="输入文本", placeholder="请输入...")
        output_box = gr.Textbox(label="处理结果", interactive=False)
    submit_btn = gr.Button("提交")
    
    submit_btn.click(
        fn=call_backend,
        inputs=input_box,
        outputs=output_box
    )

demo.launch()