Скачать или смотреть Invideo AI Text-to-Video Job Status & Polling | MERN Part 2

Continue your Invideo AI integration in Part 2! This essential, practical lesson of the Modern React, Express 2024 Canva Project teaches you the crucial Full-Stack Development technique for handling long-running, asynchronous tasks: submitting the Text-to-Video job and continuously checking its status.

Job Submission (Express/Node.js): Write the specific Node.js/Express.js server code to send the final text prompt and parameters to the Invideo AI API, initiating the video generation process and receiving a Job ID.

Asynchronous Polling Implementation: Learn how to implement a secure and efficient polling mechanism on the server to periodically query the Invideo AI API using the Job ID until the video generation is complete.

State Management (React JS): Build the necessary React components to display the current job status (e.g., 'Processing...', 'Failed', 'Complete') to the user, providing critical feedback during the wait time.

Data Persistence: Use MongoDB via Mongoose to store the Job ID and the current status, allowing users to leave the app and check the progress later—a key feature for any production-ready Full-Stack AI application.

Master this complex asynchronous pattern and solidify your MERN stack development skills. Enroll in the full course today and subscribe for more advanced MERN tutorials!