Implementing and Integrating ChatGPT using Microsoft Azure Open AI

Type model version and deployment name.

Click Create button.

You can see the status is succeeded.

Now you will be able to see the ChatGPT Preview appears on the screen.

If you click Assistant setup, it will display different types of Knowledge bases.

System messages describe the user persona what it should and shouldn't answers and also explains the format of the detailed responses.

In the Chat session, the user can view the code in Python, C#, JSON, and Curl.

Code Snippet

#Note: The openai-python library support for Azure OpenAI is in preview.
import os
import openai
openai.api_type = "azure"
openai.api_base = "https://retailai.openai.azure.com/"
openai.api_version = "2023-03-15-preview"
openai.api_key = os.getenv("OPENAI_API_KEY")

response = openai.ChatCompletion.create(
  engine="retailchatgpt",
  messages = [],
  temperature=0.7,
  max_tokens=800,
  top_p=0.95,
  frequency_penalty=0,
  presence_penalty=0,
  stop=None)

print(response)

Clear chat - This will permanently delete the current chat history. To save this chat, copy the content to a separate document before clearing.

In the user message, the users can prompt the input.

You can see the detailed responses below and enjoy the recipe for Rasmalai.

Summary

In this article, we created, implemented, and integrated ChatGPT with Microsoft Azure Open AI Studio. As of now, ChatGPT is available in the Preview mode.

Coming soon, ChatGPT becomes generally available and also helps our customers apply the world's most advanced artificial intelligence models to their business imperatives.

I hope you have enjoyed reading this article!!!