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Update app.py
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app.py
CHANGED
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@@ -37,24 +37,23 @@ def coref_chat(user_input):
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return "請輸入內容", "等待輸入..."
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try:
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# 1. 偵測語系並
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# 判斷是否含有中文字
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has_chinese = any('\u4e00' <= char <= '\u9fff' for char in user_input)
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if has_chinese:
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# 中翻英
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working_text = GoogleTranslator(source='zh-CN', target='en').translate(user_input)
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mode_notice = "【模式:中文
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else:
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#
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working_text = user_input
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mode_notice = "【模式:英文
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# 2. 執行指代消解
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preds = model.predict(texts=[working_text])
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clusters = preds[0].get_clusters()
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# 3.
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result = f"✨ {mode_notice}\n"
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result += f"📝 英文邏輯空間: {working_text}\n"
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result += "---------------------------------\n"
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@@ -62,13 +61,22 @@ def coref_chat(user_input):
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if not clusters:
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result += "🔍 分析結果:指代關係明確,或模型判定關聯度未達門檻。"
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else:
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result += "🎯【偵測到之實體鏈】:\n"
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for i, cluster in enumerate(clusters):
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#
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return user_input, result
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return "請輸入內容", "等待輸入..."
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try:
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# 1. 偵測語系並轉換為英文進行運算 (中翻英橋接)
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has_chinese = any('\u4e00' <= char <= '\u9fff' for char in user_input)
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if has_chinese:
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# 強制中翻英
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working_text = GoogleTranslator(source='zh-CN', target='en').translate(user_input)
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mode_notice = "【模式:中文 ➔ 英文解析】"
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else:
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# 本身是英文
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working_text = user_input
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mode_notice = "【模式:純英文解析】"
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# 2. 執行 AI 指代消解
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preds = model.predict(texts=[working_text])
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clusters = preds[0].get_clusters()
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# 3. 輸出結果整理
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result = f"✨ {mode_notice}\n"
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result += f"📝 英文邏輯空間: {working_text}\n"
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result += "---------------------------------\n"
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if not clusters:
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result += "🔍 分析結果:指代關係明確,或模型判定關聯度未達門檻。"
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else:
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result += "🎯【偵測到之實體鏈 (Entity Chains)】:\n"
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for i, cluster in enumerate(clusters):
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# 原始英文鏈結
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cluster_str_en = ' ↔ '.join(cluster)
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# --- 強制翻譯回中文 ---
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# 我們把連連看的內容拆開翻譯,再組合回去,這樣翻譯會更準確
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try:
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translated_items = [GoogleTranslator(source='en', target='zh-CN').translate(item) for item in cluster]
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cluster_str_zh = ' ↔ '.join(translated_items)
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except:
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# 萬一分開翻失敗,才整串翻
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cluster_str_zh = GoogleTranslator(source='en', target='zh-CN').translate(cluster_str_en)
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result += f" 🔗 鏈結 {i+1} (繁中): {cluster_str_zh}\n"
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result += f" └─ (原文): {cluster_str_en}\n"
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return user_input, result
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