Update app.py

app.py

@@ -1,20 +1,34 @@
+import gradio as gr
 import requests
-import streamlit as st
 
-st.title("Spatial Parser Demo")
+# 后端API地址（替换为你的实际地址）
+BACKEND_URL = "https://dsbb0707-SpatialParse_back.hf.space/api/predict"
 
-text = st.text_area("Enter your spatial description:")
-
-if st.button("Submit"):
-    with st.spinner("Calling backend..."):
-        try:
-            response = requests.post(
-                "https://dsbb0707--spatialparse-gradio.hf.space/run/predict",
-                json={"data": [text]},
-                timeout=20
-            )
-            st.write("Raw response:", response.text)  # 调试信息
+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]
-            st.success(f"Parsed Output:\n\n{result}")
-        except Exception as e:
-            st.error(f"Backend error: {e}")
+            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()