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Introduction

Create Python Project

Begin Coding

Obtain OpenAI API Key

Create Secret Key File

Use OpenAI Playground

Copy Code to VS Code

Customize Code

Test Code

Make Only Results Visible

Add Features

Test Translations

Enable Save as Text File

Remove Prompt from Results

Configure File Name Generation

Test Prompt

Convert App to Flask App

Configure Endpoint

Return JSONIFY

Open Postman

Create Keys for Requests

Resolve Post Problem

Create Linode

Configure Filezilla

Connect to Server

Transfer App to Server

Install Python and Flask

Run Flask

Change Flask Host IP

Run App

Check Postman

Test App

Make App Persistent

Conclusion

Description:

Learn to build an AI-powered Grammar Corrector using OpenAI and Python in this comprehensive tutorial. Create a Python project, obtain an OpenAI API key, and use the OpenAI Playground to develop your code. Customize the application to include features like translations and saving results as text files. Convert the app to a Flask application, configure endpoints, and use Postman for testing. Deploy the finished product on a Linode server, ensuring it runs persistently. Follow along step-by-step to create a functional AI Grammar Corrector and gain hands-on experience with OpenAI, Python, and web deployment.

Build Your Own OpenAI Powered Grammar Corrector - OpenAI and Python Tutorial

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#Computer Science #Artificial Intelligence #OpenAI #Programming #Web Development #Cloud Computing #Programming Languages #Python #Flask #DevOps #Application Deployment