Create sentiment.py

sentiment.py

@@ -0,0 +1,43 @@
+import requests
+from config import API_URL, HEADERS
+
+# 轉換英文分類為中文
+def translate_sentiment(label):
+    if "positive" in label.lower():
+        return "😃 **正向**"
+    elif "neutral" in label.lower():
+        return "😐 **中立**"
+    else:
+        return "😡 **負向**"
+
+# 轉換信心度為更直觀的等級（加上百分比）
+def convert_confidence(score):
+    percentage = round(score * 100)
+    if score >= 0.90:
+        return f"🌟 **極高信心** ({percentage}%)"
+    elif score >= 0.75:
+        return f"✅ **高信心** ({percentage}%)"
+    elif score >= 0.50:
+        return f"⚠️ **中等信心** ({percentage}%)"
+    elif score >= 0.30:
+        return f"❓ **低信心** ({percentage}%)"
+    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):
+    try:
+        response = requests.post(API_URL, headers=HEADERS, json={"inputs": text})
+        result = response.json()
+
+        if isinstance(result, list) and len(result) > 0:
+            sentiment = translate_sentiment(result[0]["label"])
+            confidence = result[0]["score"]
+            confidence_label = convert_confidence(confidence)
+
+            return f"**情緒分類**: {sentiment}\n**AI判斷的信心度為**: {confidence_label}"
+        else:
+            return "⚠️ **無法分析文本，請稍後再試**"
+    
+    except Exception as e:
+        return f"❌ **錯誤**: {str(e)}"