Update app.py

app.py

@@ -11,6 +11,24 @@ from huggingface_hub import hf_hub_download
 from typing import List, Dict, Tuple, Optional
 import numpy as np
 
+from huggingface_hub import HfApi
+
+api = HfApi()
+
+# 列出 Hugging Face 免費 serverless (inference endpoint) 已 warm 的模型
+models = api.list_models(
+    filter="text-generation",
+    inference="warm",   # 只要已 warm 的
+    sort="downloads",
+    direction=-1,
+    limit=20
+)
+
+print("🔥 可用的 warm 模型 (前 20):")
+for m in models:
+    print(" -", m.modelId)
+
+
 # ==================== 配置區 ====================
 HF_TOKEN = os.environ.get("HF_TOKEN", None)
 DATASET_REPO_ID = "Paul720810/Text-to-SQL-Softline"
@@ -350,19 +368,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Text-to-SQL 智能查詢系統") a
         inputs=[question_input],
         outputs=[sql_output, status_output, log_output]
     )
-
-from huggingface_hub import InferenceClient
-import os
-
-# 測試列出目前 Hugging Face 免費 API 已部署的模型
-try:
-    client = InferenceClient(token=os.environ.get("HF_TOKEN"))
-    deployed = client.list_deployed_models("text-generation-inference")
-    print("🔍 已部署的 text-generation 模型:")
-    for m in deployed.get("text-generation", []):
-        print("  -", m)
-except Exception as e:
-    print("⚠️ 查詢已部署模型失敗:", e)
     
 if __name__ == "__main__":
     if text_to_sql_system: