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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Simple self-hosted web application, which can be used to convert audio to subtitles by OpenAI's Whisper model
| Date | Stars |
|---|---|
| 2026-07-24 | 326 |
| 2026-07-25 | 326 |
| 2026-07-28 | 326 |
| 2026-07-30 | 326 |
| 2026-08-06 | 326 |
Today
— stars today
This week
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— stars this month
Momentum
0.0
growth rate 0.00%/day
## Website which convert speech to text by Whisper model ([Official Repo](https://github.com/openai/whisper)) ## 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](https://docs.docker.com/engine/install/) 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/`
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:afde512b18db9ab3, topic:whisper, topic:speech-to-text, readme:speech-to-text