If you’re looking for a new way to make the most of ChatGPT’s free version, you might want to try using Vlog. This community-developed tool helps you convert videos to documents, which you can then use with ChatGPT to transcribe, articulate, and discuss the video’s content with an AI.
Vlog is a GitHub-hosted application that leverages pre-trained models like BLIP2, GRIT, and Whisper to analyze the video’s audio, environment, and images and generate a document accordingly. By converting a video to a document, you can analyze the video’s hidden details to generate summaries, hypotheses, and descriptions of its different segments.
To use Vlog, you can either test the demo version hosted on HuggingFace or install it on your computer locally. If you want to test the demo version, you can visit the HuggingFace website and paste the OpenAI API key in the designated field. After selecting a sample video, you can click on Generate Video Document to receive a document, which you can then input into ChatGPT and verify its analysis.
To install Vlog on your computer, you will need to fulfill certain prerequisites, such as an Nvidia GPU with the latest Linux drivers. Once installed, you can clone Vlog from GitHub and create a new environment using the conda create command. You can use Anaconda to download the necessary dependencies, including delectron2, and configure them using the conda install command.
Once you have configured Vlog on your computer, you can use the command line to convert a video to a document by specifying the OpenAPI key and the path to the video file. The converted document will be stored and accessible in the same directory as the video.
With the converted document, you can easily chat with ChatGPT on chat.openai.com by pasting the contents of the document followed by your query. ChatGPT can analyze the document and provide you with a summary and translation of the video’s dialogues.
Using Vlog with ChatGPT can significantly enhance your video analysis capabilities and unlock more innovative uses for AI. With a little experimentation and tweaking, you can customize Vlog to suit your specific needs and preferences.
