Create app.py

app.py

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+import gradio as gr
+import re
+
+# ---------------------------
+# 简易规则版 TIRA 分类器（可升级）
+# ---------------------------
+def classify_tira(cn_text):
+    text = cn_text.strip()
+
+    # Retain: 常用礼貌问候、称呼
+    retain_patterns = ["您好", "敬请", "麻烦您", "请查收"]
+    if any(p in text for p in retain_patterns):
+        return "Retain（保留）", "礼貌用语多为直译可保持原意，PDI 变化较小。"
+
+    # Amplify: 请求+模糊词，如“是否方便”“能否请您”
+    amplify_patterns = ["能否", "是否方便", "请您帮忙", "抽空"]
+    if any(p in text for p in amplify_patterns):
+        return "Amplify（放大）", "英文可能出现更显性礼貌（please / possibly），使 PDI 上移。"
+
+    # Attenuate: 直接请求、没有客套
+    attenuate_patterns = ["请尽快", "需要您", "必须", "尽快处理"]
+    if any(p in text for p in attenuate_patterns):
+        return "Attenuate（削弱）", "英文可能变得更直接，在目标语减弱礼貌，PDI 下移。"
+
+    # Redirect: 情感性、文化特定表达
+    redirect_patterns = ["给您添麻烦", "不好意思打扰", "不胜感激"]
+    if any(p in text for p in redirect_patterns):
+        return "Redirect（转向）", "中文特有的情感敬辞，英文常转为名词化/被动式，方向不定。"
+
+    return "Retain（保留）", "未检测到明显礼貌偏移特征，默认保持。"
+
+# ---------------------------
+# 建议英文生成（模板版）
+# ---------------------------
+def suggest_english(cn_text, tira_type):
+    if tira_type.startswith("Amplify"):
+        return "Could you please take a moment to look at the attached file?"
+    if tira_type.startswith("Attenuate"):
+        return "Please review the attachment when you have time."
+    if tira_type.startswith("Redirect"):
+        return "I apologize if this may cause any inconvenience. Please find the attachment below."
+    return "Dear Professor, could you please take a look at the attached document?"
+
+# ---------------------------
+# 主函数
+# ---------------------------
+def predict_tira(cn_text):
+    tira_type, analysis = classify_tira(cn_text)
+    en_suggestion = suggest_english(cn_text, tira_type)
+
+    risk = {
+        "Retain": "低风险（PDI 基本保持）",
+        "Amplify": "中风险（可能让关系显得更疏远）",
+        "Attenuate": "中偏高风险（可能显得更直接）",
+        "Redirect": "不稳定（可能造成理解偏差）"
+    }
+
+    key = tira_type.split("（")[0]
+    pdi_risk = risk.get(key, "低风险")
+
+    return tira_type, analysis, pdi_risk, en_suggestion
+
+
+# ---------------------------
+# Gradio UI
+# ---------------------------
+with gr.Blocks(title="TIRA 预测工具") as demo:
+    gr.Markdown("""
+    # **TIRA 学术邮件翻译预测工具**
+    ### Translation-Induced Re-Alignment (保留 / 放大 / 削弱 / 转向)
+    输入中文学术邮件 → 获得 TIRA 类型预测 + 翻译风险 + 建议英文表达。
+    """)
+
+    cn_input = gr.Textbox(label="✉ 输入中文学术邮件内容", lines=5, placeholder="例如：能否请您帮我看一下附件？")
+    
+    btn = gr.Button("🔍 预测 TIRA 类型")
+
+    tira_output = gr.Textbox(label="📌 TIRA 类型预测")
+    analysis_output = gr.Textbox(label="📘 解释")
+    risk_output = gr.Textbox(label="⚠ PDI 风险")
+    en_suggestion_output = gr.Textbox(label="✏ 建议英文译文")
+
+    btn.click(
+        fn=predict_tira,
+        inputs=cn_input,
+        outputs=[tira_output, analysis_output, risk_output, en_suggestion_output]
+    )
+
+demo.launch()