Chat With Your Components

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How many times have you done this: Made an API, used the data with React, and then started over, again and again? What if we could make a full stack React application that can create user interfaces on its own, without needing to write any backend code and directly chat with your data? In this talk, we'll learn how to make an app that can change the way data looks using simple text commands and smart AI changes. Let's talk with your components.

This talk has been presented at React Advanced 2024, check out the latest edition of this React Conference.

FAQ

LangChain is an open-source framework that facilitates interaction with data sources and models, enabling dynamic SQL query generation and UI component creation based on user inputs.

AI can generate weather-related UI components by instructing the model to act as a weather assistant, using prompts and context to produce dynamic weather data representations.

Challenges include ensuring the model produces correct outputs for various scenarios, managing data mapping to user intentions, and maintaining visual consistency across different screens.

The AI package integrates with prompt engineering by using structured prompts to guide model outputs, enabling the creation of generative components for diverse applications.

Detailed information and examples from Teodor's talk can be found on his website, where he has published articles with use cases and code demos.

Proxima is an open source analytics platform developed by Teodor, a web developer.

Chat2BT reintroduces the chat interface as a straightforward way to interact with AI, decoupling end users from developers' release cycles and enabling dynamic UI interactions.

React and AI can be used to build smart user interfaces by leveraging components that function like Lego bricks, allowing for flexible data integration, content generation, and seamless UI updates.

AI packets allow direct interaction with AI models from React components, enabling prompt-based responses and advanced UI capabilities using OpenAI and other model providers.

Zod Schemas provide a runtime schema to guide AI models, ensuring accurate output generation and enabling features like form pre-filling, data validation, and dynamic UI adjustments.

Theodore Vorillas
Theodore Vorillas
15 min
28 Oct, 2024

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Video Summary and Transcription
In this Talk, the speaker discusses how to build smart user interfaces using React and AI. They explore using AI to enhance data interaction in a table component and demonstrate how AI can be used to pre-fill calendar slots in a booking engine. The speaker also explains how to create dynamic UIs with React by adjusting language prompts and specifying UI elements. They introduce LangChain, an open-source framework for building language model applications, and explain how it can be used to generate UIs. The speaker concludes by discussing how JSON data can be used to generate UIs and provides documentation and examples for building UI components.
Available in Español: Chat With Your Components
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