by BCS Dario Ceballos
A Streamlit-based dashboard that uses LLMs (GPT-4) to automate data visualization recommendations.
- Automated chart suggestions from natural language analysis
- Interactive Plotly/Streamlit visualizations
- One-click export for reports
In today’s AI driven world the development of tools that empower users to create complex systems without requiring extensive technical expertise it’s a fact. This article introduces LLM4Dash, a novel approach for interactive dashboards using LLM, showing the functionality and potential of LLM4Dash. Based from its live demonstration available at https://llm4dash.streamlit.app/ and its public repository on https://github.com/disenodc/LLM4dash, establishes a methodological foundation for LLM-based dashboards and highlights future research directions for generating automated analytics.
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- Clone the repository
git clone https://github.com/disenodc/LLM4dash- Navigate to directory
cd ruta/al/directorio/del/repositorio/- then install required libraries
pip install -r requirements.txt- Finally run the application
streamlit run dash.py/////////////////////////////////