#4330 Laptop RTX 4080 Audio Transcriber with LLM Feedback
#4330 Laptop RTX 4080 Audio Transcriber with LLM Feedback #4330 Provide a Python application to perform real-time audio transcription from an external microphone and prompt an LLM on a iterative basis for suggested follow-ups to the on-going discussion Building a real-time transcription tool that prompts an LLM iteratively requires a multi-threaded approach: one thread to continuously capture audio and transcribe it, and another to handle the "thinking" (LLM requests) so that the UI/Console remains responsive. In 2026, the most robust way to do this locally is using Faster-Whisper for transcription and Ollama (or a local SDK) for the LLM. 🛠️ Prerequisites You will need to install the following libraries: PyAudio : For microphone access. faster-whisper : A high-speed implementation of OpenAI's Whisper. openai : (Optional) For the LLM, or you can use ollama for a fully local experience. pip install faster-whisper pyaudio openai 🚀 The Application Code This script uses ...