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README

CSV-AI 🧠

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.

Features

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.

Installation

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
  1. Install the required packages using pip with the provided requirements.txt file.
pip install -r requirements.txt

Usage

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.

CSV-AI App Homepage

Feedback and Contributions

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.

License

CSV-AI is licensed under the MIT License.

Core symbols most depended-on inside this repo

build_provider
called by 7
app/llm/factory.py
profile_dataframe
called by 7
app/data/profiler.py
load_csv
called by 6
app/data/loader.py
get_logger
called by 5
app/utils/logging.py
_safe_float
called by 5
app/data/profiler.py
available_providers
called by 4
app/llm/factory.py
available_models
called by 4
app/llm/factory.py
build_dataframe_context
called by 4
app/data/context.py

Shape

Function 70
Method 37
Class 17

Languages

Python100%

Modules by API surface

app/services/analysis_service.py9 symbols
app/llm/base.py9 symbols
tests/test_llm_factory.py8 symbols
app/ui/components/stats_panel.py6 symbols
app/llm/ollama_provider.py6 symbols
app/llm/anthropic_provider.py6 symbols
tests/test_profiler.py5 symbols
tests/test_loader.py5 symbols
app/ui/components/sidebar.py5 symbols
app/services/summary_service.py5 symbols
app/services/chat_service.py5 symbols
app/llm/openai_provider.py5 symbols

For agents

$ claude mcp add CSV-AI \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact