Tutorials for PandasAI

csvGPT is an web app tool that enables users to upload CSV files, visualize the data, and have interactive conversations with an AI model.

A template app to build & deploy PandasAI app to make your csv files conversational

PandasAi with free LLMs for data analysis

This app allows users to upload CSV or PDF files, or enter text, and ask questions related to the content, no matter how long it is.

self host/local host llama2 based web app to chat with your csvs (multiple)

This repository showcases the application of artificial intelligence directly to the traditional Pandas library. pandasAI enables data analysis with Python by utilizing text-based, human-like conversations. This is made possible using GenAI, allowing users to perform data analysis tasks with simple text prompts, eliminating the need for traditional

This project integrates multiple large language models (LLMs) like PandasAI, LangChain, OpenAI, Google Gemini, Anthropic, and Groq to allow users to interact with their data using natural language. Users can upload files in CSV, TSV, Excel formats or connect to databases like MySQL, SQLite, and PostgreSQL to perform data analysis, querying, and exp

Streamlit App to Chat Over Custom Data

PandasAI + Gradio app

A repository showing how to use AI and ChatGPT for Data Analysis with Pandas and Python

Experimental bot app to get data analytics with pandasai and display results using streamlit

MentorHub is an AI-based project developed during the Developer Augmentation Hackathon, where our team secured a position among the top 10 teams at the national level. The project aims to simplify the process of connecting developers with diverse mentors using natural language prompts.

A project of LLM- Data Visualization using PandasAi and Groq to analyse the data from the dataset and preparing charts or answering for the given Query.

PandasAI with Llama3 for Interactive Data Analysis

Interactive web app built with Streamlit allowing users to chat with CSV data. Utilizes PandasAI for natural language processing to query, analyze, and visualize data directly from CSV files.

Este é um aplicativo de chatbot desenvolvido com Streamlit, que utiliza o Pandas AI para manipulação e análise de dados, e o modelo de linguagem Mixtral com Groq para gerar respostas. Este projeto demonstra como integrar essas tecnologias para criar um chatbot interativo e eficiente.

Data Sailor is an interactive app that simplifies dataset analysis. Using OpenAI's LLM and PandasAI, it interprets natural language queries to provide insights and visualize data trends with intuitive charts and graphs.