The original code provided by Leonardo Gregorio from the YouTube video "How I Automated Video Editing with AI GPT Omni 3 mini High Easy" presented several challenges when trying to implement it.

First, when running the code directly, it resulted in a number of errors, indicating that the code was not fully functional out of the box. This required additional troubleshooting and editing to get the script working properly.

Next, when using the ChatGPT 01 Pro model to review the code, the suggestions provided were not entirely accurate or up-to-date. The model incorrectly stated that GPT-Omni does not exist, and it ended up modifying the code to use outdated library versions, which caused further issues.

To address these problems, it was determined that the ChatGPT 03 Mini High model, with the "Search the web" option enabled, would provide more reliable and up-to-date information. This allowed for a more thorough review of the code and the identification of any necessary updates or modifications.

After confirming that the script was functioning correctly, the next step was to explore hosting the script on a server and exposing it as an API, so that it could be integrated into a larger application, such as the "your AI agent.com" platform. This required additional development work to create the necessary API layer and infrastructure.

Overall, while the original code provided a solid foundation, implementing it required significant troubleshooting, updating, and additional development to ensure a fully functional and reliable AI-powered video editing solution.

While the O1 Pro model provided helpful suggestions for improving the Python script, the information it had access to was not always up-to-date. For example, it incorrectly stated that "gp4 Omni doesn't exist," when in reality, the correct model name is GPT-4 Omni. This led to the model making changes that ultimately caused errors in the script.

To address this issue, the author found it more beneficial to use the 03 mini high model and toggle the "search the web" option. This allowed the model to access more current information and provide more accurate feedback on the script. By confirming that the models and libraries used in the script were up-to-date, the author was able to ensure the script worked as intended and could be successfully implemented as a service within their Bubble app.

To offer the AI video editor as a service within the Bubble app, we need to host the script on a server and expose it through an API. Here's a high-level overview of the steps involved:

1. Extract Audio from Video: The script first extracts the full audio from the raw video file, either as an MP3 or WAV file.

2. Detect Speech Segments: It then analyzes the extracted audio and identifies the speech segments, creating a JSON file that contains the start and end timestamps of each segment.

3. Transcribe Audio: The script sends the audio segments to the Whisper API, which transcribes the audio into text.

4. Generate Suggested Script: The transcribed text is then sent to a large language model, such as GPT-4 Omni, which generates a suggested final video script by removing unnecessary parts.

5. Edit Video: Finally, the script uses the suggested script to make the necessary cuts and edits to the original video, rendering the final, polished version.

To deploy this as a service, we can use a framework like FastAPI to create an API endpoint that accepts the raw video file, processes it, and returns the edited video. This allows users to send their video files to the API, and the service will handle the entire editing process automatically.

The key steps in the deployment process are:

1. Set up a Server: Choose a cloud platform or hosting service to deploy the script.
2. Implement the API: Use FastAPI or a similar framework to create the API endpoint that accepts the video file and returns the edited version.
3. Handle File Uploads: Implement a secure way for users to upload their video files to the server.
4. Manage Costs: Determine the pricing model for the service, considering the costs of the Whisper and GPT-4 Omni APIs, as well as the server hosting.
5. Integrate with Bubble: Develop the necessary integration between the API and the Bubble app, allowing users to seamlessly access the AI video editor service.

By offering the AI video editor as a service, you can provide a valuable tool to your Bubble app users, automating a time-consuming task and delivering high-quality, edited videos with minimal effort on their part.

The AI video editing process involves several key steps:

1. Audio Extraction: The script extracts the full audio from the raw video file, converting it to either an MP3 or WAV format.

2. Speech Segmentation: The script detects the speech segments within the audio, identifying where the speaker is talking and creating a JSON file that outlines the start and end times of each segment.

3. Speech Transcription: The script sends the segmented audio to the Whisper API, which transcribes the audio into text, capturing the speaker's words.

4. Script Refinement: The transcribed text is then sent to a large language model, such as GPT-4 Omni, which analyzes the script and suggests edits to remove unnecessary content, improving the overall flow and coherence of the final video.

5. Video Editing: Finally, the script uses the refined script to make the necessary cuts to the original video, removing the unwanted segments and rendering the final, polished video.

This automated process significantly reduces the time and effort required for video editing, allowing users to focus on the content creation rather than the tedious task of manual editing.

The AI-powered video editing script offers a significant advantage over traditional manual video editing. Whereas manual editing can be a time-consuming process, requiring 30-40 minutes to review the video, identify and remove silences, and fix mistakes, the AI script automates this entire workflow.

The script takes the raw video file, extracts the audio, detects speech segments, transcribes the audio using the Whisper API, and then uses a large language model (GPT-4 Omni) to analyze the transcription and generate a suggested final video script. This script is then used to make the necessary cuts and edits to the video, resulting in a polished, trimmed-down version.

In the example provided, the original 24-minute video was reduced to just 10 minutes and 18 seconds, a more than 50% reduction in length. This is a significant time-saver compared to the manual process, which would still require 30-40 minutes of work even with the assistance of a tool like Timebolt.

The AI-powered approach eliminates the need for the user to listen through the entire video, identify problem areas, and make individual edits. Instead, the script handles all of these tasks automatically, delivering a refined video with minimal user intervention. This streamlined workflow can be a game-changer for content creators, allowing them to focus on the creative aspects of video production rather than the tedious editing process.

The AI video editor is a powerful tool that can dramatically streamline your video editing process. By leveraging the latest advancements in AI and natural language processing, this script can automatically transcribe your audio, analyze the content, and generate a polished, edited video with minimal manual intervention.

The key features of the AI video editor include:

• Automated Transcription: The script uses the Whisper API to transcribe your audio into text, accurately capturing your spoken words.
• Intelligent Content Analysis: A large language model, such as GPT-4 Omni, is employed to analyze the transcribed text and determine which parts should be included in the final video.
• Seamless Editing: Based on the analysis, the script will automatically trim the video, removing unnecessary pauses, stutters, and other extraneous content, resulting in a concise and polished final product.
• Effortless Workflow: With this AI-powered tool, the video editing process is reduced to a matter of uploading your raw footage and waiting for the final, edited video to be delivered.

To try the AI video editor for yourself, simply visit Your AI Agent.com and explore the available AI agents. The video editor can be accessed as a standalone feature or integrated into your existing workflows. Pricing and usage models are still being finalized, but the goal is to provide a cost-effective and efficient solution for all your video editing needs.

Whether you're a content creator, marketer, or simply someone who wants to streamline their video production process, the AI video editor on Your AI Agent.com is a game-changer that can save you time and effort while delivering high-quality results.

The AI-powered video editing script presented in this video is a remarkable tool that can significantly streamline the video editing process. By automating the transcription, script refinement, and video trimming tasks, this script has the potential to save content creators a significant amount of time and effort.

The key highlights of this AI video editor include:

• Automatic transcription of audio using the Whisper API, converting speech to text.
• Intelligent script refinement using a large language model like GPT-4 Omni, which identifies and removes unnecessary content.
• Precise video trimming, cutting out silences and other unwanted segments to produce a polished, concise final video.
• Potential integration as a service within the author's "Your AI Agent" platform, offering users a convenient way to leverage this powerful tool.

Overall, this AI video editor showcases the transformative potential of AI in streamlining content creation workflows. By automating tedious tasks and leveraging advanced language models, content creators can focus on the creative aspects of their work, while the AI handles the time-consuming editing process.