CSV-AI is the ultimate app powered by LangChain, OpenAI, and Streamlit that allows you to unlock hidden insights in your CSV files. With CSV-AI, you can effortlessly interact with, summarize, and analyze your CSV files in one convenient place.

CSV-AI offers the following key features:

• Interact: Easily navigate through your CSV files and interact with the data.
• Summarize: Generate descriptive summaries for your CSV data.
• Analyze: Perform advanced data analysis on your CSV files, including filtering, sorting, and visualizing the data.

To run CSV-AI, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project directory.

git clone https://github.com/Safiullah-Rahu/CSV-AI.git
cd csv-ai

3. Install the required packages using pip with the provided requirements.txt file.

pip install -r requirements.txt

To start CSV-AI, run the following command:

streamlit run app.py

This command will launch the CSV-AI app in your default web browser. You can then start exploring and analyzing your CSV files.

If you have any feedback, suggestions, or issues related to CSV-AI, please open an issue on the GitHub repository. Contributions are also welcome! If you would like to contribute to CSV-AI, please follow the guidelines outlined in the Contribution Guidelines.

CSV-AI is licensed under the MIT License.

• Step1

mkdir ~/github
cd ~/github 
git clone https://github.com/Safiullah-Rahu/CSV-AI.git

• Step2

docker stop python; docker rm python
docker run --name python -p 3333:3333 -v $HOME/github:/github -d python:3.10.13 sleep infinity

• Step3

docker exec -it python bash
pip install --upgrade pip

• Step4

cd /github/CSV-AI
pip install -r requirements.txt

• Step 5

cd /github/CSV-AI
#ps -ef |grep app.py | awk '{print $2}' | xargs kill -9
nohup streamlit run app.py  --server.port=3333 > my.log 2>&1 &