Update app.py

Add traceback for detailed error logging

app.py

@@ -2,19 +2,24 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import time
 import os
+import traceback
 
-# 从Secrets中读取HF_TOKEN
 HF_TOKEN = os.getenv("HF_TOKEN")
+if not HF_TOKEN:
+    raise ValueError("HF_TOKEN not found in Secrets. Please set it in Space settings.")
+print(f"HF_TOKEN loaded: {len(HF_TOKEN) if HF_TOKEN else 0} characters")
 
 try:
     client = InferenceClient(model="sshleifer/distilbart-cnn-12-6", token=HF_TOKEN)
     def generate_summary(text):
-        for _ in range(3):  # 重试3次
+        for _ in range(3):
             try:
                 response = client.summarization(text)
+                print(f"API Response: {response}")
                 return response[0]['summary_text'] if response and 'summary_text' in response[0] else "摘要生成失败，请重试。"
             except Exception as e:
-                print(f"尝试失败: {e}")
+                error_details = traceback.format_exc()
+                print(f"尝试失败，错误类型: {type(e).__name__}, 错误详情: {str(e)}, 堆栈: {error_details}")
                 time.sleep(1)
         return "网络错误，请稍后重试。"
     interface = gr.Interface(
@@ -29,9 +34,10 @@ try:
         css="body {background-color: #f0f0f0; font-family: Arial;}"
     )
 except Exception as e:
-    print(f"初始化错误: {e}")
+    error_details = traceback.format_exc()
+    print(f"初始化错误，错误类型: {type(e).__name__}, 错误详情: {str(e)}, 堆栈: {error_details}")
     interface = gr.Interface(
-        fn=lambda x: f"服务暂不可用，错误: {e}",
+        fn=lambda x: f"服务暂不可用，错误: {str(e)}",
         inputs="text",
         outputs="text",
         title="MySmartSummary",