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With CSV-AI, you can effortlessly interact with, summarize, and analyze your CSV files in one convenient place. \n\n## Features\n\nCSV-AI offers the following key features:\n\n- **Interact:** Easily navigate through your CSV files and interact with the data.\n- **Summarize:** Generate descriptive summaries for your CSV data.\n- **Analyze:** Perform advanced data analysis on your CSV files, including filtering, sorting, and visualizing the data.\n\n## Installation\n\nTo run CSV-AI, follow these steps:\n\n1. Clone this repository to your local machine.\n2. Navigate to the project directory.\n\n```bash\ngit clone https://github.com/Safiullah-Rahu/CSV-AI.git\ncd csv-ai\n```\n3. Install the required packages using `pip` with the provided `requirements.txt` file.\n```bash \npip install -r requirements.txt\n```\n## Usage\n\nTo start CSV-AI, run the following command:\n```bash \nstreamlit run app.py\n```\nThis command will launch the CSV-AI app in your default web browser. You can then start exploring and analyzing your CSV files.\n\n\u003cimg src=\"CSV.png\" alt=\"CSV-AI App Homepage\"\u003e\n\n## Feedback and Contributions\nIf 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.\n\n## License\nCSV-AI is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsafiullah-rahu%2Fcsv-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsafiullah-rahu%2Fcsv-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsafiullah-rahu%2Fcsv-ai/lists"}