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ResuLLMe AI app

Create web apps from Python easily.

Why Install ResuLLMe AI to replace a human task?
Artificial Intelligence and Creativity Data and Analytics Data Visualization and Presentation Task and Project Management Utilities and Tools

AI Information

What is ResuLLMe

Streamlit is a cloud-based platform that provides a user-friendly interface for creating interactive web applications using Python. It is an ideal choice for data scientists, machine learning engineers, and other technical professionals who want to share their work and collaborate with others. With Streamlit, users can create powerful data-driven applications in seconds, using a variety of built-in widgets and visualizations such as sliders, plots, tables, and more. The platform also supports multiple data formats, allowing users to work with CSV, JSON, and other common data file types. One of the key benefits of Streamlit is its ease of use, as users can quickly get started by writing Python code in a familiar Jupyter notebook-like environment and then deploying their applications directly to the Streamlit platform. Overall, Streamlit is a powerful and flexible tool for building interactive web applications quickly and easily, providing a highly customizable environment that can be tailored to meet specific needs.

TLDR: AI for Create web apps from Python easily. Copy and paste these prompts into ResuLLMe.

ResuLLMe Prompts

Pluginplay prompts for ResuLLMe

ResuLLMe can be installed on

ResuLLMe - Opensource ChatGPT Plugin

Who is ResuLLMe for?

1. Data scientists
2. Machine learning engineers
3. Technical professionals
4. Researchers
5. Analysts

Install ResuLLMe on ChatGPT Plugin Store

What are the use cases for ResuLLMe?

Streamlit is a versatile platform that can be used in a variety of business and non-business settings. Here are some potential use cases:

1. Data visualization: Streamlit's built-in widgets and visualizations make it easy to create interactive data visualizations that can be used to explore and communicate complex data sets. This can be useful in a variety of business settings, such as marketing, finance, and operations.

2. Machine learning: Streamlit can be used to create interactive machine learning applications that allow users to explore and interact with models in real-time. This can be useful in a variety of industries, such as healthcare, finance, and retail.

3. Education: Streamlit can be used to create interactive educational materials, such as tutorials and quizzes, that allow students to learn at their own pace and engage with the material in a more meaningful way.

4. Research: Streamlit can be used to create interactive research tools that allow researchers to explore and analyze data in real-time. This can be

ResuLLMe Links

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