The complete ChatGPT App Development Course with Python

Set up your OpenAI account by signing up, confirming email, and logging in to access the API, playground, examples, and documentation for your Python app, review upgrade options and pricing.

Create and manage OpenAI api tokens, choose models like DaVinci 003, set temperature and max length, and apply stop sequences.

Create a Python app that uses the OpenAI ChatGPT API with the openai package in a PyCharm project, including API key setup, model selection, prompts, and parsing the response.

Build a ChatGPT clone backend using the OpenAI API and Flask, setting up a PyCharm project, creating main.py, routing, and handling user input to fetch and return a chatbot response.

Build the front-end for the chat GPT clone by creating index.html in templates, with a container, header, chat panel, messages, and input with a submit button, then run Flask locally.

Add JavaScript to connect the frontend to the backend using jQuery and Ajax, display user questions and OpenAI responses in a chat history, and apply Bootstrap styling.

Design a professional, user-friendly chat interface by styling the index.html with css. Run the Python app to see ChatGPT responses and experience the live styling.

Build a from-scratch code fixer app using the OpenAI API, develop front and back end, deploy to the cloud, and add Stripe payments for user access.

Builds a Flask backend that accepts code and error, uses OpenAI prompts to explain and fix the code, and displays the explanation and fixed code on the front end.

Build the HTML front end for a code bug fixer app, including a templates folder with index.html, a post form to the backend and ChatGPT, and a two-column input/output layout.

Enhance the code bug fixer app by adding a user-friendly CSS front-end, styling the header, layout, text areas, and hover submit button for a professional, sales-boosting interface.

Deploy a free cloud app with data cloud, turning Python or Node.js projects into macros. Learn to configure, deploy, test, and embed the app on a website with iframes.

Deploy your ChatGPT code bug fixing app using OpenAI API to Azure by registering an account, installing the Azure CLI, and logging in, then deploy to obtain a public link.

Set up the Stripe payment API and account, generate secret and test keys, then build a Python Flask backend to sell two products via a checkout session.

Begin building a Stripe-powered payment app in Python using Flask, define a products dictionary with pricing, and create index and order routes to handle payments.

Learn to add orders to a Stripe app by building a Flask backend that validates product IDs, creates Stripe checkout sessions with line items, and defines success and cancel pages.

Build the front end of your Stripe payment app by creating templates/index.html, rendering a products table with USD price formatting, and adding an order form that posts to /order/{id}.

Create and style a Stripe-integrated purchase flow with success and cancel pages, Flask templates, and responsive HTML/CSS. Validate quantity limits, simulate checkout, and learn how orders convert to revenue.

Integrate stripe payments into the code bug fixer to charge users after a usage threshold, using a database counter by browser ID and an HTML setup with three payment plans.

Set up an sqlite database inside your Python app to store browser fingerprint and a usage counter, enabling unique user tracking and access gating after ten visits.

Create and manage a usage counter linked to a browser fingerprint using a sqlite database, fetching a counter or inserting one, and gating access with payment after a threshold.

Create Stripe payment plans in an HTML file, offering monthly, quarterly, and yearly options with prices of $5, $12, and $50, using Stripe button and data attributes.

Set up a Stripe-backed charge page with a backend charge route and HTML, retrieve amount, process the USD charge, and show a payment confirmation for yearly, quarterly, or monthly plans.

build a local word summarization app that opens a word file, reads its text, and uses OpenAI with docx and tkinter to generate a two sentence summary.

Build a Tkinter based user interface for a summarization app with a header, browse button, and text field that displays a summary from a selected Word document.

Build a windows-only Python Outlook app that reads emails from Outlook via Win32 COM, uses OpenAI to generate replies, and delivers them through a Tkinter interface with a ten-email selector.

Build a Python tool that reads the last ten emails from Outlook, sends their bodies to OpenAI for an AI-generated reply, and opens a ready-to-send Outlook reply window.

Build an essay generation tool with the ChatGPT API in Python, using the Pict UI library to generate essays and save them to a word document for easy sharing.

Connect your app to the OpenAI chat model with an API key and DaVinci 003 GPT-3 to generate an article from a topic and save it as a Word document.

Add a token length dropdown to control ai output and present editable text before saving. Separate text generation from word-file saving to enable topic naming and final edits.

Build AI-powered apps quickly by using ChatGPT and the OpenAI API to fetch a web article, extract text, and produce a concise summary in Python with Flask.

Learn to generate images with the dall-e API using python on your own device, manage api keys, install the openai package, and build end-to-end image apps.

Create a basic DALL-E 2 app using the OpenAI API by building generator.py, sending a 3D render prompt, and saving the json response locally.

Decode a daily json response locally by building a python decoder that reads the json file, decodes base64 images, and saves PNGs to an images directory.

Build a Dall-e image generator for PowerPoint as a desktop Python app using tkinter. Enter text in a field and press create slides to generate a PowerPoint slide per paragraph.

Build a get slides function that splits text into paragraphs and generates PowerPoint slides with DALL-E images and bullet points via the OpenAI API.

Create DALL-E slide generation functions that translate text into concise prompts with ChatGPT, generate high-quality images, and assemble presentation slides from pasted text.

Create slide text and header prompts with ChatGPT, then assemble slides with text and image in a Python Tkinter app for PowerPoint.