How to use New OpenAI DevDay features - GPT4V x TTS demo tutorial
TLDROpenAI's latest update has revolutionized AI capabilities, making models more affordable, faster, and capable of handling larger tasks. New features like Banner control and multimodel updates across GPT-4V, text-to-speech, and customer support have opened doors for innovative product development. Experiments have already begun, with one website analyzing landing pages for improvements and another AI app converting sketches into functional code. The future of web development looks promising with AI suggesting and implementing ideas, monitoring performance, and creating interactive experiences. A particularly intriguing experiment involves automatically generating a video from a series of images, showcasing the potential for AI in content creation and storytelling.
Takeaways
- 🚀 OpenAI has released a significant update, enhancing its models to be faster, cheaper, and more powerful.
- 📈 The update includes a larger contact window and introduces Banner control for various functions.
- 📝 GPT-4V has been updated with multiple improvements across text, speech, and other language model outputs.
- 🔍 A new website allows users to input a URL for automatic analysis and suggestions to improve landing pages.
- 🤖 Combining AI apps can transform sketches and ideas into functional frontend code, revolutionizing web development.
- 📹 An AI experiment can convert screenshots into interactive experiences, allowing users to ask questions about specific website parts.
- 🎥 A demo showcases an AI-generated video voiceover, created without edits, demonstrating the potential of AI in content creation.
- 🛠️ The process of building a video voiceover generator is explained, utilizing GPT-4B for story generation and text-to-speech for voiceover.
- 🔧 The tutorial provided by OpenAI and Kiten makes it easy to build such AI applications, streamlining the development process.
- 📋 The script details the creation of a Streamlit app, including functions for video frame extraction, story generation, and audio synthesis.
- 📽️ The final product is a merged video with an AI-generated voiceover, showcasing the capabilities of the updated OpenAI models.
Q & A
What was the significant update released by OpenAI?
-OpenAI released an update that made almost all their models cheaper, faster, and more accessible with a bigger contact window.
What new feature was introduced for function, calling, and large language model outputs?
-Banner control was introduced as a new feature for function, calling, and handling large language model outputs.
How does the new website mentioned in the script work?
-The website allows users to input a URL, and it automatically
Outlines
🚀 Open AI's Major Update and Its Applications
Open AI has released a significant update that has made their models more affordable, faster, and capable of handling larger tasks. This includes the introduction of Banner control for various functions, multimodel updates from GPT 4V, and improvements in text-to-speech and customer GPTs. These advancements enable the creation of more engaging products. Within 24 hours of the update, a variety of experiments have been conducted, such as a website that analyzes landing pages and suggests improvements, and an AI app that converts sketches into functional code. The future of web development is promising with GPT's ability to propose and implement ideas, monitor performance, and create interactive experiences.
🎥 Building a Video Voiceover Generator with GPT 4V
The script describes the process of creating a video voiceover generator using Open AI's GPT 4V. The system involves breaking down a video into frames, generating a story based on these frames, and then using a text-to-speech model to create a voiceover. The process is straightforward, thanks to Open AI's API and tutorials. The script outlines the steps to set up a project in Visual Studio Code, import necessary libraries, and create functions for video processing, story generation, and voiceover synthesis. The final step is to merge the video with the generated audio to create a new video with voiceover. The demo showcases the accuracy and potential of this multimodel application.
Mindmap
Keywords
💡Open AI update
💡GPT 4V
💡Text-to-Speech
💡Multimodel Application
💡Streamlit UI
💡Video Analysis
💡Voice Over
💡AI App
💡Automation
💡User Interface
Highlights
Open AI released a major update, making models cheaper, faster, and more powerful.
New features include a larger contact window, Banner control for functions, and improvements in calling and language model outputs.
GPT 4V introduced multiple multimodel updates, enhancing text-to-speech and large language model capabilities.
The update enables the creation of more interesting products, as evidenced by the rapid experimentation within 24 hours.
A website was developed that uses GPT 4V to analyze landing pages and suggest improvements.
Combining GPT 4V with another AI app can turn sketches and ideas into functional front-end code.
The future of gross hacking is promising, with GPT capable of proposing, growing ideas, and implementing monitoring and iteration.
An experiment allows users to take screenshots of website parts and ask GPT questions for interaction.
A video was generated purely by GPT, showcasing its ability to create content without edits.
A video voice-over generator was created, allowing users to upload short video clips and generate new videos with voice-over.
The process of creating the voice-over generator is straightforward, thanks to Open AI's tutorials and API.
The video is broken down into frames, which are then sent to GPT 4B to generate a story based on the frames.
A text-to-speech model is used to generate voice-over, which is then merged with the video.
The entire process is wrapped under a Streamlit UI, making it user-friendly and accessible.
The video-to-frames function is created to handle video file uploads and temporary file creation.
The frame-to-stories function generates a script based on the input frames and user prompt.
The text-to-audio function converts the generated script into voice-over using Open AI's text-to-speech model.
The merge audio-video function combines the video and audio files into a new video with voice-over.
The demo showcases the potential of building multimodel apps with GPT 4V and other Open AI features.
