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FWAL WebUI (Faster Whisper And LLM WebUI) by swrneko

Screenshots

Main panel

faster-whisper settings menu io.net api settings menu

Requirements

  • python-conda or miniconda;
  • python 3.10 or above;
  • linux (windows not tested but probably working);

Python requirements are listed in requirements.txt.

Installation

  1. Clone repository:
git clone https://github.com/swrneko/faster-whisper-n-ionet-llm.git
cd faster-whisper-n-ionet-llm
  1. Create virtual env:
conda create -n faster-whisper-n-ionet-llm python=3.10
conda activate faster-whisper-n-ionet-llm
conda install nvidia::cudnn cuda-version=12
  1. Install requirements:
pip install -r requirements.txt
  1. Get api key from io.net and insert into .env file (need to create it in root of repository directory). It should looks like this:
API_KEY='your_api_key_without_qoutes'  
  1. Done! Now you can just run it like that:
python app.py
Description
Self made utility for recognize and refine lections
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