Update sentiment.py

sentiment.py

@@ -2,12 +2,21 @@ import requests
 import logging
 from config import HEADERS, MODEL_OPTIONS, DEFAULT_MODEL
 
-# 設定 logging
 logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
 
 CURRENT_MODEL = DEFAULT_MODEL
 API_URL = f"https://api-inference.huggingface.co/models/{CURRENT_MODEL}"
 
+# 📌 **轉換英文分類為台灣用語**
+def translate_sentiment(label):
+    label = label.lower()
+    if "positive" in label:
+        return "😃 **開心、正面**"
+    elif "neutral" in label:
+        return "😐 **普通、沒特別感覺**"
+    else:
+        return "😡 **負面、沒那麼開心**"
+
 # 📌 呼叫 Hugging Face API 進行情緒分析
 def analyze_sentiment(text, model_name=None):
     global CURRENT_MODEL, API_URL
@@ -19,14 +28,24 @@ def analyze_sentiment(text, model_name=None):
 
     try:
         logging.info("🚀 發送 API 請求...")
+        print(f"📢 [Debug] API URL: {API_URL}")
+        print(f"📢 [Debug] 輸入文本: {text}")
+
         response = requests.post(API_URL, headers=HEADERS, json={"inputs": text})
         response.raise_for_status()
         result = response.json()
-        logging.info(f"✅ API 回應: {result}")
+
+        print(f"📢 [Debug] API 回應: {result}")
+
+        # 📌 **修正回應格式**
+        if isinstance(result, list) and len(result) > 0 and isinstance(result[0], list):
+            result = result[0]  # 取得內層列表
 
         if isinstance(result, list) and len(result) > 0:
-            sentiment = result[0]["label"]
-            confidence = result[0]["score"]
+            # 取得最高分的情緒分類
+            best_sentiment = max(result, key=lambda x: x["score"])
+            sentiment = translate_sentiment(best_sentiment["label"])  # ✅ **轉換為台灣用語**
+            confidence = best_sentiment["score"]
             return f"**情緒分類**: {sentiment}\n**AI 信心度**: {confidence*100:.2f}%", confidence
         else:
             return "⚠️ **無法分析文本，請稍後再試**", 0.0
@@ -34,12 +53,3 @@ def analyze_sentiment(text, model_name=None):
     except requests.exceptions.RequestException as e:
         logging.error(f"❌ API 請求錯誤: {e}")
         return f"❌ **API 請求錯誤**: {str(e)}", 0.0
-    except ValueError as e:
-        logging.error(f"❌ JSON 解碼錯誤: {e}")
-        return f"❌ **JSON 解碼錯誤**: {str(e)}", 0.0
-    except KeyError as e:
-        logging.error(f"❌ 字典鍵錯誤: {e}")
-        return f"❌ **字典鍵錯誤**: {str(e)}", 0.0
-    except Exception as e:
-        logging.error(f"❌ 未知錯誤: {e}")
-        return f"❌ **未知錯誤**: {str(e)}", 0.0