1. First of all if you are planning to run the container on your local machine you need to have Docker installed. You can find the installation instructions here.
2. Creating a folder for our files, lets call it whisper-api
3. Create a file called requirements.txt and add flask to it.
4. Create a file called Dockerfile
In the Dockerfile we will add the following lines:
1. Choosing a python 3.10 slim image as our base image.
2. Creating a working directory called python-docker
3. Copying our requirements.txt file to the working directory
4. Updating the apt package manager and installing git
5. Installing the requirements from the requirements.txt file
6. installing the whisper package from github.
7. Installing ffmpeg
8. And exposing port 5000 and running the flask server.
1. Create a file called app.py where we import all the necessary packages and initialize the flask app and whisper.
2. Add the following lines to the file:
3. Now we need to create a route that will accept a post request with a file in it.
4. Add the following lines to the app.py file:
1. Open a terminal and navigate to the folder where you created the files.
2. Run the following command to build the container:
3. Run the following command to run the container:
1. You can test the API by sending a POST request to the route http://localhost:5000/whisper with a file in it. Body should be form-data.
2. You can use the following curl command to test the API:
3. In result you should get a JSON object with the transcript in it.
This API can be deployed anywhere where Docker can be used. Just keep in mind that this setup currently using CPU for processing the audio files. If you want to use GPU you need to change Dockerfile and share the GPU. I won't go into this deeper as this is an introduction. Docker GPU
