Building ChatGPT Clone & Text to Image Generator

Explore using Python 3.0, browser-based IDEs like Google Colab or Jupyter, and libraries OpenAI API and Gradio to build a ChatGPT clone and text-to-image generator.

Learn to build a ChatGPT clone with a simple left input, right output interface and backend focus using Python and OpenAI, exploring Gradio for basic UI.

Discover how ChatGPT, an OpenAI artificial intelligence based chatbot, uses natural language processing and prior interactions to generate responses from user input.

Discover how Gradio, an open source Python framework, lets you build ML models or testing APIs with a GUI that can be integrated into your IDE, like Google Colab. Install via pip, import Gradio, and create a simple interface with text input and text output.

Set up Google Colab as the browser-based IDE for this project, sign in with your Gmail account, create a notebook, and learn to test code in blocks using ipynb notebooks.

Generate and securely store your OpenAI API key by creating a new secret key, logging in with OpenAI, and safeguarding the key for project integration with your user interface.

Install gradio via pip, import it, and run a quick Google Colab example to build a simple text input, text output interface for a chatbot.

Learn how an API acts as a bridge connecting a database with your application, using the OpenAI API and keys to process queries and deliver answers.

Learn core python foundations by exploring data types, lists, and functions with parameters and returns, tailored for beginners preparing to build a chatgpt clone.

Master Python data types: string, integer, float, and boolean, through hands-on practice and type checks. Learn string creation with quotes, concatenation, length via len, and basic arithmetic and boolean usage.

Learn how to operate lists in Python, including declaring empty lists, assigning string and integer values, printing, counting length, iterating with a for loop, and appending to lists.

Master Python functions: define with def, name functions, and pass parameters A, B, C to compute totals and return results, with examples like potential energy using mass, gravity, and height.

Learn to integrate Gradio by building a ChatGPT clone interface, defining input text, output text, and a titled app, then test and compile the code.

add the missing share equals true boolean to the function, recompile to fix the error, and note that the next video will cover text to image generation.

Create a text-to-image generator in a notebook using OpenAI, with no api key required, building user-friendly functions and a menu that collects title, amount, and size to produce image URLs.

Test the chatgpt clone by recompiling and using the URL to prompt questions like dropshipping and a sad message, noting human-like responses and previewing further text-to-image project testing.

Test the text-to-image generator by adding the API key, then generate images (dog and bunny) at valid sizes (256×256, 512×512, 1024×1024) to verify functionality, before uploading to GitHub.

Learn how to create a GitHub account, set up a repository, and upload your project files, choosing between public or private access.