title	emoji	colorFrom	colorTo	sdk	pinned
GPT4TurboApp	📊	blue	purple	docker	false

Prerequisites

If you need an introduction to git, or information on how to set up API keys for the tools we'll be using in this repository - check out Interactive Dev Environment for LLM Development which has everything you'll need to get started in this repository!

If you need an introduction to accessing the OpenAI API like a developer, or to containerizing and deploying the application to a Hugging Face space, check out Beyond ChatGPT - Build Your First LLM Application which has everything you'll need to ship and share this local application build!

In this repository, we'll walk you through the steps to create a Large Language Model (LLM) application that leverages the latest models from OpenAI, GPT-4 Turbo and DALL·E 3.

🤖 Building Your GPT-4 Turbo Application with DALL·E 3 Image Generation

For a step-by-step YouTube video walkthrough, watch this!
How to Build an LLM Application using GPT-4 Turbo and DALL·E 3

1. Clone this repo.

   git clone https://github.com/AI-Maker-Space/GPT4AppWithDALLE3.git

2. Navigate inside this repo

   cd GPT4AppWithDALLE3

3. Install the packages required for this python envirnoment in requirements.txt.

   pip install -r requirements.txt

4. Export Your OpenAI API Key to your local env. using

   export OPENAI_API_KEY=XXXX

5. Let's try deploying it locally. Make sure you're in the python environment where you installed Chainlit and OpenAI. Run the app using Chainlit. This may take a minute to run.

   chainlit run app.py -w

Great work! Let's see if we can interact with our chatbot to answer questions and generate images!