Update app.py

app.py

@@ -11,22 +11,6 @@ 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 ====================
@@ -81,7 +65,7 @@ class TextToSQLSystem:
     def __init__(self, model_name='sentence-transformers/paraphrase-multilingual-mpnet-base-v2'):
         self.log_history = []
         self._log("初始化系統...")
-        self.schema = self._load_schema()
+        self.schema = self._load_schema()  # 📌 自動載入 SQLite schema
         self.model = SentenceTransformer(model_name, device=DEVICE)
         self.dataset, self.corpus_embeddings = self._load_and_encode_dataset()
         self._log("✅ 系統初始化完成，已準備就緒。")
@@ -161,7 +145,7 @@ class TextToSQLSystem:
         """呼叫 Hugging Face Inference API"""
         # === 修正開始 ===
         # 確保 API_URL 是一個乾淨的字串，不包含任何 Markdown "[ ]" 或其他特殊字元
-        API_URL = "https://api-inference.huggingface.co/models/bigscience/bloomz-7b1-mt"
+        API_URL = "https://api-inference.huggingface.co/models/Paul720810/qwen2.5-coder-1.5b-sql-finetuned"
 
         # === 修正結束 ===