feat: 实现基于PySide6的翻译GUI工具初始版本

添加主程序入口、GUI界面、翻译核心逻辑、Word文件处理、系统监控和日志模块

translator.py

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+from llama_cpp import Llama
+import os
+from utils.logger import logger
+
+class Translator:
+    def __init__(self, model_path=None):
+        self.model = None
+        self.model_path = model_path
+        self.is_ready = False
+        self.model_name = ""
+        
+    def load_model(self, model_path=None):
+        """加载模型"""
+        if model_path:
+            self.model_path = model_path
+        
+        if not self.model_path:
+            logger.error("未提供模型路径")
+            return False
+        
+        if not os.path.exists(self.model_path):
+            logger.error(f"模型文件不存在: {self.model_path}")
+            return False
+        
+        try:
+            logger.info(f"开始加载模型: {self.model_path}")
+            self.model = Llama(
+                model_path=self.model_path,
+                n_ctx=2048,
+                n_threads=4,
+                n_gpu_layers=100  # 尽可能使用GPU加速
+            )
+            self.is_ready = True
+            self.model_name = os.path.basename(self.model_path)
+            logger.info(f"模型加载成功: {self.model_name}")
+            return True
+        except Exception as e:
+            logger.error(f"模型加载失败: {e}")
+            self.is_ready = False
+            return False
+    
+    def translate(self, text, context="", terms=None):
+        """执行翻译"""
+        if not self.is_ready or not self.model:
+            logger.error("模型未就绪，无法执行翻译")
+            return ""
+        
+        try:
+            # 构建翻译提示词
+            prompt = self._build_prompt(text, context, terms)
+            
+            logger.info(f"开始翻译，输入长度: {len(text)} 字符")
+            
+            # 调用模型进行翻译
+            output = self.model(
+                prompt,
+                max_tokens=2048,
+                temperature=0.7,
+                top_p=0.95,
+                stop=["\n原文:", "\n译文:", "\n###"]
+            )
+            
+            translated_text = output["choices"][0]["text"].strip()
+            logger.info(f"翻译完成，输出长度: {len(translated_text)} 字符")
+            
+            return translated_text
+        except Exception as e:
+            logger.error(f"翻译失败: {e}")
+            return ""
+    
+    def _build_prompt(self, text, context="", terms=None):
+        """构建翻译提示词"""
+        prompt = "你是一个专业的翻译助手，根据以下要求将中文翻译成英文：\n"
+        
+        if context:
+            prompt += f"\n文本背景/场景介绍：{context}\n"
+        
+        if terms:
+            prompt += "\n术语定义：\n"
+            for term in terms:
+                prompt += f"{term}\n"
+        
+        prompt += f"\n原文：{text}\n译文："
+        
+        return prompt
+    
+    def unload_model(self):
+        """卸载模型"""
+        if self.model:
+            try:
+                del self.model
+                self.model = None
+                self.is_ready = False
+                logger.info("模型已卸载")
+                return True
+            except Exception as e:
+                logger.error(f"模型卸载失败: {e}")
+                return False
+        return True
+    
+    def get_model_info(self):
+        """获取模型信息"""
+        if self.is_ready:
+            return f"{self.model_name.split('.')[0]}"
+        return "未加载模型"