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This project forked from kabanosk/whisper-website
Simple web application, which can be used to convert audio to subtitles by OpenAI's Whisper model
License: MIT License
Shell 1.27%
JavaScript 14.95%
Python 47.51%
CSS 3.63%
HTML 28.00%
Batchfile 1.58%
Dockerfile 3.06%
whisper-websiteedit's Introduction
Website which convert speech to text by Whisper model (Official Repo)
Hosting website on localhost:
- Clone the repo -
git clone [email protected]:Kabanosk/whisper-website.git
- Go to repo directory -
cd whisper-website
- Create virtual environment -
python3 -m venv venv
- Activate the environment -
source venv/bin/activate
/. venv/bin/activate
- Install requirements -
pip install -r requirements.txt
- Go to src directory -
cd src
- Run the
run.py
file - python3 run.py
- Go to your browser and type
http://127.0.0.1:8000/
if the browser doesn't open
Run website on localhost with Docker
- Install Docker
- Clone the repo -
git clone [email protected]:Kabanosk/whisper-website.git
- Go to repo directory -
cd whisper-website
- Create Docker image -
docker build -t app .
- Run Docker container -
docker run --name app_container -p 80:80 app
- Go to your browser and type
http://127.0.0.1:80/
- Start your Docker container -
docker start app_container
- Go to your browser and type
http://127.0.0.1:80/
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