update: llm translate

translate/llm-translate.py

@@ -6,13 +6,11 @@ from openai import OpenAI
 
 load_dotenv()
 
-# 初始化OpenAI客户端
 client = OpenAI(
     api_key=os.getenv("API_KEY"),
     base_url=os.getenv("BASE_URL"),
 )
 
-# 系统提示词
 system_prompt = """
 The user will provide some text. Please parse the text into segments, each segment contains 1 to 5 sentences. Translate each sentence into the corresponding language. If the input is in Chinese, return the English translation, and vice versa.
 
@@ -28,7 +26,6 @@ EXAMPLE JSON OUTPUT:
 }
 """
 
-# 翻译函数
 def translate_text(text):
     messages = [
         {"role": "system", "content": system_prompt},
@@ -43,7 +40,6 @@ def translate_text(text):
     
     return json.loads(response.choices[0].message.content)
 
-# 处理单个文件的函数
 def process_file(input_file, output_dir):
     try:
         with open(input_file, 'r', encoding='utf-8') as f:
@@ -60,7 +56,6 @@ def process_file(input_file, output_dir):
     except Exception as e:
         print(f"Error processing {input_file}: {e}")
 
-# 批量处理目录下的文件
 def batch_process(input_dir, output_dir, num_threads=4):
     if not os.path.exists(output_dir):
         os.makedirs(output_dir)
@@ -73,17 +68,14 @@ def batch_process(input_dir, output_dir, num_threads=4):
         threads.append(thread)
         thread.start()
         
-        # 控制线程数量
         if len(threads) >= num_threads:
             for t in threads:
                 t.join()
             threads = []
     
-    # 等待剩余线程完成
     for t in threads:
         t.join()
 
-# 主函数
 if __name__ == "__main__":
     input_dir = "./source"
     output_dir = "./output"