https://github.com/ErdenizUnvan/data_analysis_with_local_llama

Deploy an AI agent with via autogen and llama_index for making data analysis with your files
https://github.com/ErdenizUnvan/data_analysis_with_local_llama

Last synced: 3 days ago
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Deploy an AI agent with via autogen and llama_index for making data analysis with your files

• Host: GitHub
• URL: https://github.com/ErdenizUnvan/data_analysis_with_local_llama
• Owner: ErdenizUnvan
• Created: 2024-12-17T09:27:32.000Z (22 days ago)
• Default Branch: main
• Last Pushed: 2024-12-17T09:36:13.000Z (22 days ago)
• Last Synced: 2024-12-17T10:29:20.210Z (22 days ago)
• Language: Python
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome_ai_agents - Data_Analysis_With_Local_Llama - Deploy an AI agent with via autogen and llama_index for making data analysis with your files (Building / Deployment)
• awesome_ai_agents - Data_Analysis_With_Local_Llama - Deploy an AI agent with via autogen and llama_index for making data analysis with your files (Building / Deployment)

README

        
Deploy an AI agent with via autogen and llama_index for making data analysis with your files.

In order to understand how this AI Agent locally works; you must first be familiar with how local llama systems works with ollama as I explained through my previous repository: https://github.com/ErdenizUnvan/ollama_local_llama_api

This project is one of the examples that I have made during my studies at Purdue University Applied Generative AI Specialization program.

Make a directory called coding at your path. Paste the heart.csv file to that folder. 

The python code of analysis_excel_csv_with_llama.py will not be at the folder named coding. Make sure that the python code is at parent directory. 

At python code replace the value of 'C:/Users/Dell/llama3_2/coding/heart.csv' with your files os full file path at your directory.

If you will run xlsx files, then make sure to change df = pd.read_csv(file_path) with df = pd.read_excel(file_path) at the python code.