Mahdi-s / MagicCSV

MagicCSV is a Streamlit-based application that leverages local Ollama LLMs to add a new column to your CSV files using customizable prompts.

🔮 MagicCSV

MagicCSV is a Streamlit-based application that leverages local Ollama LLMs to add a new column to your CSV files using customizable prompts.

🚀 Quick Start (for Users)

1. Download the MagicCSV.exe from the ./dist folder.
2. Ensure Ollama is installed and running on your system.
3. Double-click MagicCSV.exe to launch the application.
4. Upload your CSV, configure settings, and process your data!

🛠️ Development Setup

Running the Streamlit App

1. Clone the repository:

git clone https://github.com/neovand/MagicCSV.git
cd MagicCSV

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

pip install -r requirements.txt

4. Run the Streamlit app:

streamlit run app.py

Building the Executable

1. Install PyInstaller:

pip install pyinstaller

2. Build the executable:

pyinstaller run.spec --clean

📝 Todo

• Ollama Integration
• Build for Windows
• OpenAI, Anthropic, Groq Integration
• Build for Mac and Linux
• Add batch processing capabilities
• Implement prompts that can access other rows, not just the current row
• Add support for more file formats (e.g., Excel, JSON)
• Implement error handling and logging
• Create user documentation and usage examples