Whisper UI

The main goal of the project is to create a graphical user interface for the Whisper speech recognition library. GUI created using the Flet library

The project supports two recognition modes:

• single file process - recognition of only one file
• batch process - processing multiple files at once

You can select a mode by clicking on the popup menu button on the main tab:

Single file mode

You need to select an audio file, select a recognition model and click the Recognize button. The recognition process is displayed in real time and you can copy part of the result. look at the example below:

Batch process

You need select an output folder, audio files (one or more), select recognition model. You can remove concrete selected file from audio list or clear all files

Take a look at the process of recognizing multiple files:

Requirements

Whisper requires FFMpeg to be installed

Remarks

• By default the model is downloaded to the following directory "~/.cache/whisper". You can't change this value via ui
• The output tab does not display information about the model download process.The beginning and end of the model download process is indicated as follows:

  Model download directory: ~./cache/whisper      #download model started
  Model {model_name} downloaded                   #download model finished
  

• In Linux, the FilePicker control depends on Zenity when running Flet as an app. This is not a requirement when running Flet in a browser. To install Zenity on Ubuntu/Debian run the following commands:

  sudo apt-get install zenity
  

Links

• Whisper - is a general-purpose speech recognition model
• Flet - the fastest way to build Flutter apps in Python