Just provide the text input or image input explaining your application.
About
This project focuses on developing an AI-powered application that generates Streamlit-based data science applications based on user input. The core objective is to simplify the process of creating interactive data applications, allowing users to provide high-level descriptions of desired functionalities and receive fully-functional Streamlit code in return. The project involves training a sequence-to-sequence model on a large dataset of user inputs and corresponding Streamlit code snippets. This dataset is generated using a combination of predefined templates and randomized elements to cover a wide range of data visualizations and user interface components. By leveraging Natural Language Processing (NLP) techniques and advanced machine learning models, the application can interpret user requirements and produce accurate, context-aware code. The final product aims to enhance productivity for data science enthusiasts, enabling rapid prototyping and testing of data-driven applications with minimal effort.
