The video introduces the Auto Streamer web app, which allows users to create courses on any topic by inputting the number of chapters, OpenAI API key, and selecting a topic. The app automatically generates a course outline based on the chosen topic, offers customization options, and enables users to download the generated course in HTML format.
The video introduces a simplified version of the Auto Streamer web app, which allows users to create courses on any topic. Users can select the number of chapters they’d like to create, enter their OpenAI API key, and choose a topic. The app generates a course outline based on the selected topic, such as Next.js or History of Rome. Users can customize word count per chapter, select course type (general or code-based), and language before generating the course.
The course outline is automatically generated and displayed, showing chapters related to the chosen topic. Users can review the outline, regenerate it if needed, and proceed to generate the full course. The app works well with FastAPI and provides options for customization. Users can download the generated course in HTML format, which includes links to the creator’s websites but can be modified by users.
The video delves into the code structure of the Auto Streamer web app, highlighting the usage of FastAPI, Jinja templates, and WebSocket connections. The GPT calls module is utilized to interact with the OpenAI API for generating course content dynamically. The process involves generating a curriculum based on the chosen topic and course length, creating a system message, and handling both regular fetch requests and WebSocket connections.
The demonstration showcases the functioning of the app, including how it dynamically generates course content and updates the UI in real-time using JavaScript. The app allows users to create structured courses on various topics, which can be accessed and listened to at any time. The full version of Auto Streamer is available for purchase, offering additional features and customization options. Users can also download a free demo version from the website.
The creator emphasizes the benefits of becoming a patron, offering access to code files, courses, and one-on-one meetings. The Auto Streamer project files will be available on the creator’s Patreon page for further exploration and learning. The video concludes with a preview of the full version of Auto Streamer, highlighting its capabilities in creating course websites in real-time using GPT and OpenAI API integration. Users are encouraged to explore the demo version and consider the full version for enhanced features and functionality.