| import json | |
| import sys | |
| from zhipuai import ZhipuAI | |
| def extract_comments(file_path, max_comments=100): | |
| comments = [] | |
| with open(file_path, "r", encoding="utf-8") as f: | |
| for line in f: | |
| try: | |
| data = json.loads(line.strip()) | |
| if "text" in data: | |
| comments.append(data["text"]) | |
| if len(comments) >= max_comments: | |
| break | |
| except Exception as e: | |
| print("解析错误：", e) | |
| continue | |
| return comments | |
| def build_prompt(comments): | |
| joined_text = "\n".join(comments) | |
| prompt = f"""以下是来自一个 YouTube 视频的观众留言，共 {len(comments)} 条评论，语言为阿拉伯语：{joined_text} | |
| 请你根据这些评论的语言风格、词汇、表达方式，判断这些评论者使用的主要阿拉伯方言是哪一种？（如：标准阿拉伯语方言、沙特方言、摩洛哥方言、阿尔及利亚方言、伊拉克方言等） | |
| 只输出一种最可能的方言。 | |
| """ | |
| return prompt | |
| def detect_dialect(prompt): | |
| response = client.chat.completions.create( | |
| model="glm-4-flash", | |
| messages=[ | |
| {"role": "user", "content": prompt} | |
| ] | |
| ) | |
| return response.choices[0].message.content | |
| if __name__ == "__main__": | |
| info_file = sys.argv[1] | |
| api_key = sys.argv[2] | |
| client = ZhipuAI(api_key=api_key) | |
| comments = extract_comments(info_file, max_comments=50) | |
| prompt = build_prompt(comments) | |
| result = detect_dialect(prompt) | |
| # print("\n 检测结果：") | |
| print(result) | |