This is a simple starter boilerplate that gives you a basic FastAPI setup with a few endpoints. It is meant to be used as a starting point for your own projects.
In your terminal, run the following commands:
git clone [email protected]:lablab-ai/Google-VertexAI-FastAPI.git
cd Google-VertexAI-FastAPI
cd app
pip install -r requirements.txt
In order to use the Vertex AI SDK, you will need to update the project auth using a serviceaccount
In app, folder create the file service_account.json and paste the content of your service account json file. Create the file if you don't have it by runnung the following command in your terminal:
touch service_account.json
In the file service_account.json paste the content of your service account json file. It should look like this:
{
"type": "service_account",
"project_id": "YOUR_PROJECT_ID",
"private_key_id": "YOUR_PRIVATE_KEY_ID",
"private_key": "YOUR_PRIVATE_KEY",
"client_email": "YOUR_CLIENT_EMAIL",
"client_id": "YOUR_CLIENT_ID",
"auth_uri": "YOUR_AUTH_URI",
"token_uri": "YOUR_TOKEN_URI",
"auth_provider_x509_cert_url": "YOUR_AUTH_PROVIDER_X509_CERT_URL",
"client_x509_cert_url": "YOUR_CLIENT_X509_CERT_URL",
"universe_domain": "YOUR_UNIVERSE_DOMAIN"
}
You can find your service account json file in the Vertex AI console under Settings > Service account or you got it provided by lablab.ai (If you are part of the Google Vertex AI hackathon )
Once you have installed the dependencies, you can start the server by running: uvicorn main:app --reload --port 8080 in the app directory.
When the server is running, you can test it by going to http://localhost:8080/docs in your browser. You should see the Swagger UI where you can test the endpoints.
Good luck! and don't forget to star this repo if you like it!
Thank you for reading! If you enjoyed this tutorial you can find more and continue reading on our tutorial page
On lablab discord, we discuss this repo and many other topics related to artificial intelligence! Checkout upcoming Artificial Intelligence Hackathons Event
