The video discusses the deployment of a Shopify API using Fast API and the Render server. A product search endpoint is created with a verification mechanism and the code is added to a GitHub repository. The Render server is used to host the API endpoint, and the video ends by discussing future steps that involve incorporating the endpoint into a WordPress chatbot. The video also provides a brief tutorial on Fast API and the deployment process.
1. The text introduces part two of a Shopify Series.
2. The author is going to wrap everything in an API using fast API.
3. A product search endpoint will be created with a verification mechanism.
4. The endpoint will be deployed on render for free.
5. The next video will incorporate the endpoint into a WordPress chatbot.
6. The author added something to the code in the last video to create a vector store based on Shopify data.
7. The author edited the handle to include a link to the product.
8. The author is using Fast API and thinks it's fast and easy to use.
9. The author creates an endpoint called product search async using Fast API.
10. The endpoint includes a query string and a default value of four for K (similarity search).
11. The author tests the endpoint using requests.
12. The author adds authorization as a header to the endpoint.
13. The author creates a function to check for the API key to prevent unverified queries.
14. The author creates a static token for authorization.
15. The author creates a file to check the token.
16. The author defines the start command for the API using Uvicorn.
17. The author deploys the endpoint on a render for free.