Building AI Powered Full-Stack Web Apps with CopilotKit + CrewAI
AI Summary
Video Summary: Building an Application with Co-Pilot Kit and Crew AI Integration
- Introduction
- Overview of the video: building an application using UI components and AI assistant for a smooth interaction.
- Focus on Co-Pilot Kit and Crew AI integration.
- Project Setup
- Starting with a recipe creator example, later adapting it for other use cases.
- Explanation of data communication between the UI and backend.
- Components overview: Next.js application communicating with a Python backend using FastAPI.
- Application Functionality
- Users can tweak settings (dropdowns, checkboxes, ingredients, instructions).
- Shared state between frontend and backend allows synchronized updates.
- Features include an improve AI button and message typing in the sidebar.
- Repository and Configuration
- Instructions to clone and navigate the repository, focusing on the examples folder.
- Set up a development environment and install dependencies with
pmpm install.- Using OpenAI API for AI model communication, requiring an API key.
- Building and Customizing the Application
- Step-by-step guide through the source code to adjust the application for different use cases (e.g., workouts).
- Emphasis on maintaining sync between backend configurations and frontend UI.
- Usage of terminal commands for setting up environments and testing the application.
- Function Call Integration
- Explanation of how functions and parameters are structured for integration.
- Ability to handle user requests and reflect changes back in the UI.
- Explanation of handling tool calls and parsing JSON payloads from the AI model.
- Conclusion
- Encouragement to explore demo examples in the repository for various applications.
- Call for interaction by inviting viewers to comment, share, and subscribe.