Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations powered by LibreTranslate. Live for free public use at https://freesubtitles.ai
Under the hood, generate-subtitles uses Whisper AI for creating transcripts and Libretranslate for generating the translations. Libretranslate is optional and not required to run the service.
You can find the installation instructions for Whisper here: https://github.com/openai/whisper#setup
Once Whisper is installed and working properly, you can start the web server.
Make sure you are running Node.js 14+
nvm use 14
You can install Node 14 with nvm:
# install nvm
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.2/install.sh | bash
# setup nvm
export NVM_DIR="$HOME/.nvm"
[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh" # This loads nvm
[ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion" # This loads nvm bash_completion
nvm install 14
nvm use 14Currently the app uses yt-dlp as well, you can install it with:
sudo curl -L https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp -o /usr/local/bin/yt-dlp #download yt-dlp
sudo chmod a+rx /usr/local/bin/yt-dlp # Make executableThen:
git clone https://github.com/mayeaux/generate-subtitles
cd generate-subtitles
npm install
npm startThis should start the server at localhost:3000, at which point if you navigate to there with a browser you should be able to see and use the app.
Note: Unless you have a GPU that can use CUDA, you will likely have to use your CPU to transcribe which is significantly less performant, hence why you may have to rent a GPU server from a cloud provider. The only GPU cloud provider that I've had a good experience with is VastAI which is what I use to run https://freesubtitles.ai , if you use this link I should receive a 2.5% of your purchase for the referral: http://vast.ai/?ref=52232
To setup the Vast server to run Whisper, you can use the following script: https://github.com/mayeaux/generate-subtitles/blob/master/docs/install.sh (Note, this script isn't perfect yet but has all the ingredients you need).
While creating the Vast server, you will have to open some ports, this is the configuration I use to achieve that:
Hit EDIT IMAGE & CONFIG..
I select CUDA though it's not 100% necessary
Then hit the SELECT button (the one that's to the right of the CUDA description and not the one next to cancel) and you can add this line to open the ports:
-p 8081:8081 -p 8080:8080 -p 80:80 -p 443:443 -p 3000:3000 -p 5000:5000
Hit SELECT & SAVE and when you create an instance it should have the proper ports opened to be able to access the web app. Vast uses port forwarding so when your port 3000 is opened it will be accessed through another port but you should be able to figure that out from their interface.