How to use New OpenAI DevDay features - GPT4V x TTS demo tutorial
OpenAI recently released a major update, introducing new features and improvements to their models. These updates make the models cheaper, faster, and more powerful, and they bring a host of possibilities for building interesting and innovative products. In just 24 hours, people have already started experimenting with these new capabilities and have created a wide range of fascinating projects.
Unlocking the Potential
One example is a website that allows you to input any URL and analyze the landing page using OpenAI's GPT-4V model. The AI then provides proposals on how the landing page can be improved. When combined with another AI app that automatically turns sketches and ideas into front-end code using GPT-4V, the future of growth hacking becomes incredibly interesting.
Imagine a scenario where GPT-4V can propose growth ideas, implement, monitor performance, and iterate automatically. People have even explored interactions where they take screenshots of various parts of a website and ask GPT questions about them. The possibilities are endless.
Creating a Video Voice-Over Generator
Inspired by these new features, I decided to build a video voice-over generator. The concept is simple: you can upload a short video clip, provide a prompt, and generate a new video with a voice-over based on that prompt. Thanks to OpenAI and the tutorial provided by Kiten, the process is straightforward and easy to follow.
Let's dive into it!
Step 1: Set Up Your Project
The first step is to create a project in Visual Studio Code. You'll need to add an .env file where you can store your OpenAI API key. Create a new file called app.py and import the necessary libraries and load the .env file to access the OpenAI API key.
Step 2: Video to Frames
Create a function called "video_to_frames" that takes a video file as input. This function will convert the video into multiple frames and return the image frames, the video file path, and the video duration. We'll use these frames later on.
Step 3: Building the User Interface
Now let's build the user interface using Streamlit. Set the title of the page, create headers, and add a file uploader component as well as a "Generate" button. When the button is clicked and a file is uploaded, we'll show a loading state and call the "video_to_frames" function we created earlier.
Step 4: Frames to Story
Create a function called "frames_to_story" that takes the frames generated in step 2 and a prompt as inputs. This function will generate a prompt message that includes both the text prompt provided by the user and all the image file URLs. We'll run GPT-4V on every 25 frames, as the model can handle roughly 40 images per request.
Step 5: Text to Audio
Create a function called "text_to_audio" that takes the generated script from GPT-4V as input. This function will use OpenAI's text-to-speech model to convert the text into a voice-over. It will then create a temporary audio file and return the file name and original bytes.
Step 6: Merge Audio and Video
Create a function called "merge_audio_video" that takes the video file name, audio file name, and output file name as inputs. This function will load the video clip and audio clip, create a new file, and merge the audio and video together.
Step 7: Integrating Everything
After defining all the necessary functions, integrate them into the main function. Retrieve the audio file from the "text_to_audio" function, merge the audio and video files together, and display the newly generated video. Finally, clean up all the temporary files.
And that's it! You've built a video voice-over generator using OpenAI's GPT-4V and text-to-speech models. Now you can upload a short video clip, provide a prompt, and generate a video with a voice-over based on that prompt. The possibilities for creating engaging and unique content are endless.
Conclusion
I hope this tutorial has inspired you to explore the new features and updates from OpenAI. With GPT-4V and other multimodal models, you can create innovative applications that combine different modalities and push the boundaries of AI. I'm excited to see what interesting apps and projects you'll create using these powerful tools.
Remember to experiment, have fun, and stay tuned for more videos and tutorials exploring OpenAI's latest updates. The future of AI is full of possibilities!
Frequently Asked Questions
1. Can I use any video clip for the voice-over generator?
Yes, you can use any short video clip as input for the voice-over generator. Simply upload the video, provide a prompt, and generate a new video with a voice-over.
2. How accurate is the voice-over generated by GPT-4V?
The accuracy of the voice-over generated by GPT-4V is impressive. It takes into account the frames of the video and generates a script that highlights the key actions and content of the video.
3. Can I use other modalities besides video and text?
Yes, with OpenAI's multimodal models, you can combine different modalities such as images, audio, and text. Feel free to explore and experiment with different modalities to create unique and engaging applications.
4. Are there any limitations to the voice-over generator?
There are some limitations to consider. GPT-4V can handle roughly 40 images per request, so if your video has more frames, you may need to split it into multiple requests. Additionally, the generated voice-over should be concise and match the length of the video to ensure a seamless experience.
5. How can I further customize and enhance the voice-over generator?
There are several ways to customize and enhance the voice-over generator. You can experiment with different prompts, adjust the length of the generated script, and explore different voices and accents using OpenAI's text-to-speech models.
Remember, the possibilities are endless, so don't be afraid to explore and create amazing projects with OpenAI's latest updates!
