Using OpenAI Codex with Streamlit and Deploying on Azure

Introduction

In this tutorial, we'll explore how to build an application using OpenAI's Codex with Streamlit and then deploy it using Azure services.

Prerequisites

• Basic Python knowledge.
• An Azure account.
• OpenAI Codex API key.

1. Setting Up Your Development Environment

1.1. Install necessary packages:

pip install streamlit openai

1.2. Create a new Python file for your Streamlit app, e.g., app.py.

2. Building a Streamlit App with OpenAI Codex

2.1. Start by importing the necessary libraries:

import streamlit as st
import openai

2.2. Configure OpenAI settings:
(Note: In this tutorial, the API key is in the code for simplicity, but it's recommended to use environment variables or Azure's Key Vault for better security.)

openai.api_type = "azure"
openai.api_base = "https://example.openai.azure.com/"
openai.api_version = "2023-03-15-preview"
openai.api_key = "YOUR_OPENAI_API_KEY"

2.3. Develop your Streamlit app. [Refer to the previous code for a complete example.]

3. Deploying Your App on Azure

Azure provides several ways to deploy Python web apps. For this tutorial, we'll use Azure App Service, a fully managed platform to build, deploy, and scale web apps.

3.1. Create a virtual environment and install necessary packages:

python -m venv venv
source venv/bin/activate  # For Linux/macOS
venv\Scripts\activate     # For Windows

pip install -r requirements.txt

3.2. Use the Azure CLI to create a new web app and deploy:

# Login to Azure
az login

# Create a resource group
az group create --name myResourceGroup --location "West Europe"

# Create an Azure App Service plan
az appservice plan create --name myAppServicePlan --resource-group myResourceGroup --sku B1 --is-linux

# Create a web app
az webapp create --resource-group myResourceGroup --plan myAppServicePlan --name YOUR_APP_NAME --runtime "Python|3.8" --deployment-local-git

# Deploy your app
git add .
git commit -m "Initial commit"
git push azure master

3.3. Navigate to the provided URL to view your deployed Streamlit app.

here is the code sample
https://github.com/karleeov/codex-model