feat; read env

app.py

@@ -1,9 +1,23 @@
 import gradio as gr
 import requests
 import json
+import os
+from dotenv import load_dotenv
 
-API_URL = "https://api.whaleflux.com/whaleflux/v1/model/deployment/enova-service-8fbf8085-2d13-4583/v1/chat/completions"
-API_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyaWQiOiJNVGMwTlRVMk5EVTROaTR4T0dNd01qUXpaVEJsTVRsaVpURmhPV1V5TkdVMk9UUTRabVppTjJNME16RmtaVGt4WkRjM056RmtPR1l4TTJFek1HRmpNek15WW1JMFlUTmpPVEUwIiwiaWF0IjoxNzQ1NTY0NTg2LCJleHAiOi0xLCJvcmdfaWQiOiIxMDAyNzA5NSIsInNjb3BlIjp7InBlcm1pc3Npb24iOm51bGx9LCJ0eXBlIjoiYXBpLXRva2VuIiwiTWFwQ2xhaW1zIjpudWxsfQ.fw6eZmOWr7gBqKd6X5duGao0MOimZ69Fv0oeBVWy0Gk"
+# 加载.env文件中的环境变量
+load_dotenv()
+
+# 从环境变量中读取配置
+API_URL = os.getenv("API_URL")
+API_TOKEN = os.getenv("API_TOKEN")
+
+# 验证必要的环境变量
+if not API_URL or not API_TOKEN:
+    raise ValueError("请确保设置了环境变量 API_URL 和 API_TOKEN")
+
+print(f"[INFO] 服务启动配置:")
+print(f"[INFO] API_URL: {API_URL}")
+print(f"[INFO] API_TOKEN: {API_TOKEN[:10]}...{API_TOKEN[-10:]}")  # 只显示token的前10位和后10位
 
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference