{"repo":"Kabanosk/whisper-website","free":true,"listed":false,"github":"https://github.com/Kabanosk/whisper-website","clone":"git clone https://github.com/Kabanosk/whisper-website.git","description":"Simple self-hosted web application, which can be used to convert audio to subtitles by OpenAI's Whisper model","language":"Python","stars":326,"topics":["fastapi","openai","speech-to-text","whisper","python3","uvicorn","website","audio-to-text","subtitles","subtitles-generator"],"license":"MIT","category":"ai-agents","readme_excerpt":"Website which convert speech to text by Whisper model (Official Repo) Hosting website on localhost: 1. Clone the repo - git clone https://github.com/Kabanosk/whisper-website.git 2. Go to repo directory - cd whisper-website 3. Create virtual environment - python3 -m venv venv 4. Activate the environment - source venv/bin/activate / . venv/bin/activate 5. Install requirements - pip install -r requirements.txt 6. Go to src directory - cd src 7. Run the run.py file - python3 run.py 8. Go to your browser and type http://127.0.0.1:8000/ if the browser doesn't open Run website on localhost with Docker First time 1. Install Docker 2. Clone the repo - git clone https://github.com/Kabanosk/whisper-website.git 3. Go to repo directory - cd whisper-website 4. Create Docker image - docker build -t app . 5. Run Docker container - docker run --name app container -p 80:80 app 6. Go to your browser and type http://127.0.0.1:80/ Next time 1. Start your Docker container - docker start app container 2. Go to your browser and type http://127.0.0.1:80/","default_branch":null,"files":null,"tree":[],"storefront":"/r/Kabanosk","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Kabanosk/whisper-website/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}