34 lines
955 B
Markdown
34 lines
955 B
Markdown
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# Real Time Whisper Transcription
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This is a demo of real time speech to text with OpenAI's Whisper model. It works by constantly recording audio in a thread and concatenating the raw bytes over multiple recordings.
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To install dependencies simply run
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```
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pip install -r requirements.txt
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```
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in an environment of your choosing.
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Whisper also requires the command-line tool [`ffmpeg`](https://ffmpeg.org/) to be installed on your system, which is available from most package managers:
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```
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# on Ubuntu or Debian
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sudo apt update && sudo apt install ffmpeg
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# on Arch Linux
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sudo pacman -S ffmpeg
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# on MacOS using Homebrew (https://brew.sh/)
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brew install ffmpeg
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# on Windows using Chocolatey (https://chocolatey.org/)
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choco install ffmpeg
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# on Windows using Scoop (https://scoop.sh/)
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scoop install ffmpeg
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```
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For more information on Whisper please see https://github.com/openai/whisper
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The code in this repository is public domain.
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