Update sentiment.py

sentiment.py

@@ -1,6 +1,10 @@
 import requests
 from config import HEADERS
 
+# 📌 預設載入的模型
+CURRENT_MODEL = "cardiffnlp/twitter-xlm-roberta-base-sentiment"
+API_URL = f"https://api-inference.huggingface.co/models/{CURRENT_MODEL}"
+
 # 轉換英文分類為中文
 def translate_sentiment(label):
     if "positive" in label.lower():
@@ -24,10 +28,16 @@ def convert_confidence(score):
     else:
         return f"❌ **極低信心（建議忽略）** ({percentage}%)"
 
-# 調用 Hugging Face API 進行情緒分析
-def analyze_sentiment(text, model_id):
+# 📌 調用 Hugging Face API 進行情緒分析
+def analyze_sentiment(text, model_id=None):
+    global CURRENT_MODEL, API_URL
+
+    # 📌 **只在模型變更時更新 API URL**
+    if model_id and model_id != CURRENT_MODEL:
+        CURRENT_MODEL = model_id
+        API_URL = f"https://api-inference.huggingface.co/models/{CURRENT_MODEL}"
+
     try:
-        API_URL = f"https://api-inference.huggingface.co/models/{model_id}"
         response = requests.post(API_URL, headers=HEADERS, json={"inputs": text})
         result = response.json()
 
@@ -36,7 +46,7 @@ def analyze_sentiment(text, model_id):
             confidence = result[0]["score"]
             confidence_label = convert_confidence(confidence)
 
-            return f"**情緒分類**: {sentiment}\n**AI 判斷的信心度**: {confidence_label}", confidence  # 返回文本 & 信心度數值
+            return f"**情緒分類**: {sentiment}\n**AI 判斷的信心度**: {confidence_label}", confidence
         else:
             return "⚠️ **無法分析文本，請稍後再試**", 0.0