From ddaf018b836a401369ea519d9fc11c15861bfb83 Mon Sep 17 00:00:00 2001 From: p38654902 Date: Thu, 31 Oct 2024 18:15:19 +0800 Subject: [PATCH] Delete My-project --- My-project | 93 ------------------------------------------------------ 1 file changed, 93 deletions(-) delete mode 100644 My-project diff --git a/My-project b/My-project deleted file mode 100644 index 0db810e..0000000 --- a/My-project +++ /dev/null @@ -1,93 +0,0 @@ -from gradio_client import Client -from knowledge_api import extract_code_between_triple_backticks -from knowledge_api import load_test_data -from knowledge_api import save_submissions_to_jsonl -import torch - -# 初始化客户端,假设你的API运行在本地的7860端口 -client = Client("http://0.0.0.0:7860/") - - -# 与机器人对话 -def chat_with_bott(client, user_message, system_message="You are a code assistant, please directly generate a Python " - "code according to the requirement.\n"): - """ - You are a code helper,please directly generate a simple Python function without explanation - 与机器人进行对话的函数,使用/stream API来获取响应。 - """ - - chatbot_memory = [] - try: - - # 使用/append API追加用户消息到对话 - result = client.predict( - chatbot=[], - role="user", # 角色为用户 - query=user_message, # 用户的输入消息 - api_name="/append" # 调用append API - ) - - # 更新聊天记录,追加用户输入 - chatbot_memory.append(("user", user_message)) - torch.cuda.empty_cache() - - # 使用/stream API获取机器人的回复 - response = client.predict( - chatbot=chatbot_memory, - system=system_message, - tools=None, - image=None, - max_new_tokens=None, - top_p=0.7, - temperature=0.9, - api_name="/stream" - ) - - client.predict( - api_name="/lambda" - ) - - # 将机器人的回复添加到聊天记录中 - bot_reply = response[0] # 从response获取机器人的回复 - chatbot_memory.append(("bot", bot_reply)) - print(bot_reply[1] + "\n--------------------") - return bot_reply[1] # 返回机器人的回复 - - except Exception as e: - print(f"发生错误: {e}") - return "抱歉,我无法处理这个请求。" - - -# 主程序 -if __name__ == '__main__': - # 加载测试数据 - pili_files = '/data/download/代码生成_round4.jsonl' - test_data = load_test_data(pili_files) - - submissions = [] - i = 0 - for item in test_data: - task_id = item['task_id'] - questions = item['question'] - - # 构造问题 - question = f"{questions}\n>" - print(i) - i = i + 1 - - # 调用 chat_with_bot 函数来获得机器人的回答 - answer = chat_with_bott(client, question) - - the_answer = extract_code_between_triple_backticks(answer) - - submission = { - "task_id": task_id, - "question": questions, - "prompt": f"{questions}\n", - "raw_outputs": the_answer - } - submissions.append(submission) - - # 保存提交结果 - output_file_path = '代码生成submissions4.jsonl' - save_submissions_to_jsonl(submissions, output_file_path)