Summary
The video showcases the testing of Codeex CLI through the creation of a local transcription app that converts sound to text using Python backend and MLX framework. The speaker explores using the GPT5 CEX model fine-tuned for integration with VS Code, discusses the app's architecture, and tests the model's transcription capabilities. Despite encountering issues with hotkeys and network access, the speaker demonstrates successful transcription results and expresses satisfaction with the app's performance, hinting at a future standalone version.
Testing Codeex CLI with a Local Transcription App
The speaker tests Codeex CLI by recreating a local transcription app that converts sound into text in a text box with hotkeys for transcription.
Creating a Local Transcription App
The speaker requests help in creating a local app to transcribe audio into text using a Python back end with MLX framework for transcription.
Integration with VS Code
The speaker discusses using the GPT5 CEX model fine-tuned for integration with VS Code and outlines the application's architecture and functions.
Stopwatch and Model Testing
The speaker starts a stopwatch to track the model's performance, discusses the model's runtime for complex tasks, and tests the model's capabilities with transcription tasks.
Testing Transcription Capabilities
The speaker tests the transcription capabilities of the model, encounters issues with hotkeys, and troubleshoots network access problems.
Final Testing and Stats
The speaker performs final tests on the transcription app, adds statistics display, and showcases the successful transcription results.
Impressions and Future Testing
The speaker expresses satisfaction with the app's performance, plans to continue testing, and considers creating a standalone version in the future.
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