OpenAI Next.js FastAPI Streamlit Python Typescript: GPT 4 Chatbot - 3 Frontends & Python Backend
Welcome to this comprehensive tutorial where we dive into building a versatile OpenAI chatbot using three different frontend platforms: FastAPI with HTML/CSS/Bootstrap, Streamlit, and Next.js with Tailwind CSS and DaisyUI. All these frontends seamlessly connect to a robust Python-based FastAPI backend.
In this video, you will learn:
1. *FastAPI Backend with OpenAI Integration:*
Setting up a Python-based FastAPI backend.
Connecting to the OpenAI API for generating chatbot responses.
Handling API requests and responses efficiently.
2. *FastAPI Frontend with HTML, CSS, Bootstrap, and JavaScript:*
Building a simple yet effective chatbot frontend using plain HTML, CSS, and Bootstrap for styling.
Implementing JavaScript to handle user inputs and display chatbot responses.
Ensuring smooth communication between the frontend and FastAPI backend.
3. *Streamlit Frontend with Data Streaming Generator:*
Creating a dynamic Streamlit application that interacts with the FastAPI backend.
Leveraging Streamlit’s powerful data streaming capabilities to provide real-time chatbot responses.
Crafting a user-friendly interface with Streamlit components.
4. *Next.js Frontend with Tailwind CSS and DaisyUI:*
Developing a modern Next.js frontend using Tailwind CSS and DaisyUI for sleek design.
Integrating TypeScript for type safety and better code quality.
Connecting the Next.js frontend to the FastAPI backend using API routes.
This video provides hands-on experience with detailed explanations on building these chatbots, making it a valuable resource for both Python and JavaScript/TypeScript developers. Whether you are a backend enthusiast or a frontend developer, this tutorial bridges the gap between Python-based backends and JS/TS-based frontends.
*For JavaScript/TypeScript Developers:*
"This series is particularly valuable for JavaScript/TypeScript developers aiming to transition into Python-based AI development. It serves as an effective bridge, offering practice exercises with both Python and OpenAI API to enrich your programming toolkit."
By the end of this tutorial, you'll have a solid understanding of how to create, deploy, and manage a full-stack AI-powered chatbot application. Stay tuned for more exciting content, and don't forget to like, comment, and subscribe!
#OpenAI #Nextjs #FastAPI #Streamlit #Python #Typescript #TailwindCSS #DaisyUI #Chatbot #AI #JavaScript #TypeScript
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