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Throughout this in-depth tutorial, we’ll learn how to build a research paper summariser using OpenAI's Assistants API. The summariser takes in a document as form data and returns a summary of the document as the response.
I will walk you through handling file data, form submissions, and responses from the API. We’ll also learn some of the limitations of the current version of the API.
If you are looking to learn more about integrating AI into your own web development project, then this is the perfect video for you!
00:00 Introduction and Overview
00:02 Building a Research Paper Summariser
00:37 Understanding AI Assistants
00:51 Exploring AI Packages
01:38 Creating an AI Assistant
02:43 Demonstrating the Research Paper Summariser
03:05 Understanding Limitations of the OpenAI Assistants API
04:42 Setting Up the Project
07:00 Exploring the Project Structure
07:59 Building the Route Handler
18:43 Creating the UI
20:15 Setting Up the Status and File Input
20:35 Building the Page Layout
20:47 Adding Styles and Creating the Container
21:17 Creating Error and Loading Components
21:57 Building the Form
22:50 Adding Input and Button Elements
23:57 Adding File Input and Button
25:11 Creating Event Handlers
26:54 Handling Form Submission
32:25 Testing the Form Submission
34:47 Displaying the Messages
37:31 Final Thoughts and Conclusion
🔑 Key Takeaways
- Introduction to OpenAI API Dashboard
- How to integrate with OpenAI's Assistants API
- Handling File Submission
- Creating NextJS Forms w/ Route Handlers
- Dealing with AI Server Response in the UI
🔗 Resources
Source Code: github.com/taylor-lindores-re...
OpenAI: platform.openai.com/
Vercel AI: sdk.vercel.ai/docs
Assistants API: platform.openai.com/assistants
Vercel useAssistant Hook: github.com/vercel/ai/tree/mai...
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