🤖 Intro

Titan-Analysis

(〃’▽’〃) Let Agent be DataAnalyst

🔗 Version 1.3

📚 https://github.com/Zhuang-Zhuang-Liu/Titan-Analysis

🤝 DeepSeek-Chat-V2 & AutoGen

📢 Zhuang-Zhuang-Liu

🚀 Getting Started

import shutil,sys,os
current_directory = os.getcwd()
!git clone https://github.com/Zhuang-Zhuang-Liu/Titan-Analysis.git
sys.path.append( current_directory +'/Titan-Analysis') 

from agent_zoo.GroupChat import Titan,agent_create,show_chat_history,load_data_and_prompts
llm_config_deep = {"config_list": [{ "model": "deepseek-chat","base_url": 'https://api.deepseek.com/v1',"api_key": "sk-xx","temperature": 1.0 }] }

# load_data_and_prompts
prompts,data_info,da_guide_dict,indicator_guide = load_data_and_prompts(dataset_card_path = current_directory +'/Titan-Analysis/dataset/',
                                                  agent_prompts_path = current_directory +'/Titan-Analysis/agent_zoo/agent_prompts.json',
                                                  da_guide_path = current_directory +'/Titan-Analysis/rag_zoo/data_analysis_guide_dict.json',
                                                  indicator_guide_path = current_directory +'/Titan-Analysis/rag_zoo/indicator_guide11.json' )
# analysis
ana = Titan(da_guide_dict = da_guide_dict,indicator_guide = indicator_guide,datacard=data_info,prompts=prompts,llm_config=llm_config)
ana.task_input()
ana.analysis(path='test',llm_config=llm_config,max_round_num=27)

✨ Work Flow

🥪 Demo Case

🔐 Copyright and License

This project follows the MIT License Agreement