Python for Generative AI Apps : Building Intelligent Systems

Install Python from python.org and set up Windows with VS Code and Sublime Text, add Python to path, and verify the setup via the Python prompt.

Set up a Python development environment on Ubuntu by installing VS Code, verifying Python in the terminal, and installing the Python extension; explore optional Sublime Text as an editor.

Set up a macOS development environment with Visual Studio Code, a free platform independent code editor. Install the Python extension and run a hello world to start Python development.

Learn to set up an AWS free tier account, explore 12‑month and always free offers, and complete the essentials from email verification to payment, with EC2, S3, Lambda, and SageMaker.

Set up your first Python project to use the GPT-3.5 turbo API by installing the OpenAI library, creating an API key, and calling a completion with a prompt.

Build a Python-based chatbot that interacts with the OpenAI API from the terminal by reading user prompts, controlling output with max tokens, and looping for continuous questions.

Build a Flask-based ChatGPT clone using Python, create home and GPT routes, and integrate OpenAI GPT API to generate responses.

Build a Flask web app that fetches data from the OpenAI API using a GPT endpoint, accepts user prompts via the URL, and renders results with a Bootstrap-enabled HTML template.

Learn to build a Flask-based chat interface by wiring a bootstrap form to a /gpt endpoint, post user prompts, call GPT three API, and render the response on the page.

Build a Flask text-to-image app using the GPT API and DALL-E from OpenAI; integrate routes, templates, and prompts to generate and display images at various sizes.

Build a Streamlit text-to-image app using OpenAI's DALL-E 2 and DALL-E 3 models to generate images from prompts, with selectable image sizes, a generate button, and download capability.

Build a whatsapp gpt bot using python, twilio, and the openai api to generate ai responses via a flask endpoint and deploy on aws ec2.

Build a python telegram bot that uses the GPT-3.5 turbo API via the teleport library, with Bot Father setup and token handling for user prompts.

Create and run your first workflow with LangChain and OpenAI's chat model, installing LangChain, configuring the API key, and executing a simple chat to generate responses.

Build a python-based chat bot using LangChain to access the OpenAI API, install and import LangChain models, and run a loop that answers user queries.

Create a web summary app using Lang Chain to load a web page via a URL with a document loader, then summarize it with an OpenAI model.

Build an end-to-end pdf chat app with Streamlit and LangChain to upload a PDF, extract text with PyPDF2, and chat using OpenAI embeddings.

Create a GUI based chatbot in Python using the Gradio library and the GPT-3 API, with a web interface and prompt design.

Create a Gradio based GUI chat bot for a Python generative AI app, wiring GPT-3 outputs to a command line input and a memory-aware web interface using blocks.