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所在平台: Udemy |
课程主页: https://www.udemy.com/course/create-an-openai-video-to-text-transcriber-app-with-tkinter/
课程评论：没有评论
**课程摘要：使用Python和Tkinter构建AI视频转文本应用程序** 本课程将带您使用Python和 nowoczesny Tkinter (ttkbootstrap) 库创建一个图形用户界面（GUI）应用程序，该应用程序能够连接OpenAI的Whisper-1模型，将视频内容转换为文本。您将惊叹于您能快速创建出功能强大、外观现代的人工智能驱动的应用程序。 OpenAI是ChatGPT的开发者，其Whisper-1模型允许您上传视频或音频文件，并通过其人工智能模型将其内容转换为文本转录。我们将详细讲解如何使用API密钥连接OpenAI，查询模型，以及正确解析返回的结果。 为了让您的应用程序看起来更具吸引力，我们还将在课程中使用ttkbootstrap库，这是一个提供现代化外观的Tkinter美化库。即使您对Tkinter或ttkbootstrap没有任何经验，也无需担心，本课程将提供清晰易懂的步骤指导。我们不会深入探讨ttkbootstrap的细节，只是会利用其部分功能来提升应用的视觉效果。 **为什么要构建视频转文本应用程序？** 原因有很多！例如，您可以将视频内容转换为文本，进而撰写博客文章、社交媒体帖子，或者为在线视频提供更优质的字幕。这不仅能满足实际需求，也是一个非常有趣且有价值的学习过程！
In this course we'll build a cool GUI app using Python and Tkinter (and ttkbootstrap the modern looking Tkinter library) that connects to the OpenAI Whisper-1 Model to convert video to text. You'll be surprised just how quickly you can create some pretty cool looking apps that are powered by state of the art Artificial Intelligence!!OpenAI is the maker of ChatGPT, and their Whisper-1 model allows you to upload video or audio files to their artificial intelligence model, and have it convert those files to text transcriptions! We'll discuss how to connect to OpenAI with an API Key, query the engine, and parse the responses in the correct way. We'll use the TTKBootstrap library for Python and Tkinter that will allow our app to look very cool and modern (compared to stodgy old looking Tkinter). You don't need any experience with Tkinter or TTKBootstrap to take this course, I'll walk you through it all very easily.We won't dive into TTKBootstrap in great detail in this course, we'll just use bits of it here and there to make our app look more modern. So if you have no experience with TTKBootstrap (or Tkinter at all), you won't have any trouble following along; I'll walk you through it step by step!Why would you want to build an app that transcribes video? TONS of reasons! Maybe you want to convert your video to text and make blog posts out of them, or social media posts, or just offer better closed captioning text on the videos you post online. There's a ton of reason to use this, and it's also just really fun to learn!
