Install and setup servicefoundry on your computer.

pip install servicefoundry

servicefoundry use server https://app.truefoundry.com

servicefoundry login

1. Change working directory to predict folder

cd predict

2. Create workspace and API key on the TrueFoundry platform

3. Replace the MLF_API_KEY value predict.yaml file with the API Key found in secrets tab of your TrueFoundry account (Instructions here)

4. Copy the workspace_fqn of the workspace that you want to use from the workspace tab of TrueFoundry(Instructions here) and add it in predict.yaml file

5. To deploy using python script:

python predict_deploy.py

To deploy using CLI:

servicefoundry deploy --file predict/predict_deploy.yaml

7. Click on the dashboard link in the terminal to open the service deployment page with FastAPI EndPoint

This can done via the fastapi endpoint directly via browser.

Note: It is necessary to deploy live inference model before being able to deploy a demo

1. Create workspace and API key on the TrueFoundry platform

2. Replace the MLF_API_KEY value demo.yaml file with the API Key found in secrets tab of your TrueFoundry account (Instructions here)

3. Copy the workspace_fqn of the workspace that you want to use from the workspace tab of TrueFoundry and add it in the demo.yaml file (Instructions here)

4. To deploy using python script:

python demo/demo_deploy.py

To deploy using CLI:

servicefoundry deploy --file demo/demo_deploy.yaml

5. Click on the dashboard link in the terminal
6. Click on the "Endpoint" link on the dashboard to open the streamlit demo