Create app.py

app.py

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+import gradio as gr
+import requests
+import os  # ✅ 用于读取 secret
+
+# ✅ 从 Hugging Face Secret 中获取 token
+API_TOKEN = os.getenv("HF_API_TOKEN")
+
+# ✅ 你私有后端的空间地址（注意大小写）
+BACKEND_URL = "https://dsbb0707-SpatialParsebackcopy.hf.space/api/predict/"
+
+def call_backend(input_text):
+    try:
+        # ✅ 加入 Authorization 头
+        headers = {
+            "Authorization": f"Bearer {API_TOKEN}"
+        }
+
+        response = requests.post(
+            BACKEND_URL,
+            headers=headers,  # ✅ 加入 header
+            json={"data": [input_text]},
+            timeout=10
+        )
+        if response.status_code == 200:
+            result = response.json()["data"][0]
+            return f"✅ {result['result']}\n⏰ {result['timestamp']}"
+        return f"❌ Backend Error (HTTP {response.status_code})"
+    except Exception as e:
+        return f"⚠️ Connection Error: {str(e)}"
+
+# ✅ Gradio 界面构建
+with gr.Blocks() as demo:
+    gr.Markdown("## 前端交互界面")
+    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", variant="primary")
+    
+    submit_btn.click(
+        fn=call_backend,
+        inputs=input_box,
+        outputs=output_box
+    )
+
+# ✅ 正确的 Gradio 启动方式
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)