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The use of ChatGPT and OpenAI has exploded as users leverage it to generate text and images using tools such as the ChatGPT prompt and Microsoft Image Creator.

AI's next big wave will be the integration of artificial intelligence into applicatiions.

To fully exploit the AI potential of these generative tools, however, you must integrate them into your own applications, which you can do using the OpenAI API.

There will be a huge demand for programmers with AI-programming skills. Programmers who can't leverage AI will be left behind.

This book, OpenAI and ChatGPT Programming unlocks the mystery of AI content generation by providing the complete working applications for over 50 AI applications. You will learn how to create applications that:Generate text based on promptsPerform text processing, such as summation, sentiment analysis, keyword selection, and moreGenerate images from promptsCreate variations of an imageEdit and existing imageUse computer vision to describe an imageGenerate speech from textGenerate text from speechHost Web-based applications that use the OpenAI APIand more!The next AI wave will be integrating AI into applications. With OpenAI and ChatGPT Programming, you can master that much needed skill now!

Here's an example that uses the OpenAI API to generate an image based on your text prompt:

import openai
import json
import os
from openai import OpenAI

key = os.getenv('OpenAI_API_Key')

# Set your OpenAI API key here
client = OpenAI(api_key = key)

# Call the ChatGPT model
response = client.images.generate(
model="dall-e-3",
prompt="A cream-colored labradoodle in a library wearing a smoking jacket smoking a cigar",
size="1024x1024",
quality="standard",
n=1,)

print(response.data[0].url)
From the Publisher

Use Dall-E for Image Generation, Variations, Editing, and Computer Vision

Generate Images

Create images from text within your applications.

Create Variations

Generate variations of an existing image.

Edit an Existing Image

Use Dall-E to edit an existing image.

Use Computer Vision

Unlock computer vision to analyze your images.

Use ChatGPT for Text Processing

Generate Text

Use ChatGPT to generate text within your own applications.

Summarize Text

Read and summarize PDF documents.

Rewrite Text

Let ChatGPT rewrite your own content.

Analyze Documents

Evaluate a PDF or other content for errant content and sentiment.

Master Text to Speech and Speech to Text

Convert Text to Speech

Convert text to speech within your programs.

Translate Speech

Translate text and play the corresponding audio.

Convert Speech to Text

Transcript recorded audio to text.

Create a Chat Bot

Create your own chat bot--text or voice driven!

Build AI-Based Web Applications

Build a Web-Based Image Generator

Generate images from a Web application.

Build a Web-Based Text Generator

Generate text within cloud or Web applications.

Create Web-Based Computer Vision

Process images using computer vision on the Web.

Analyze Documents from the Web

Analyze PDF documents from the Web.

ASIN ‏ : ‎ B0CQK41P6B
Publisher ‏ : ‎ Independently published (December 17, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 160 pages
ISBN-13 ‏ : ‎ 979-8872144915
Item Weight ‏ : ‎ 10.2 ounces
Dimensions ‏ : ‎ 7 x 0.37 x 10 inches

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OpenAI and ChatGPT are two powerful tools in the world of artificial intelligence that have been making waves in the programming community. OpenAI is an organization dedicated to helping create safe and beneficial AI, while ChatGPT is an AI model that can generate human-like text based on the input it receives. By combining the two, developers can create interactive chatbots and other AI-powered applications that can have real-world utility.

One of the best programming languages to use when working with OpenAI and ChatGPT is Python. Python is a versatile and beginner-friendly language that is widely used in the field of artificial intelligence and machine learning. With its simple syntax and extensive library support, Python is a great choice for building AI-powered applications.

To get started with OpenAI and ChatGPT programming in Python, you first need to sign up for an API key from OpenAI. This key allows you to access the OpenAI API, which provides a range of powerful AI models, including ChatGPT. Once you have your API key, you can begin making requests to the OpenAI API using Python code.

For example, you can use the requests library in Python to send a prompt to the ChatGPT model and receive a response. Here's a simple example of how you can do this in Python:

import os
import openai

# Set your API key
api_key = os.getenv("OPENAI_API_KEY")

# Create a prompt
prompt = "Once upon a time"

# Create the OpenAI API instance
openai.api_key = api_key

# Make a request to the ChatGPT model
response = openai.Completion.create(
  engine="text-davinci-003",
  prompt=prompt,
  max_tokens=100
)

# Print the response
print(response.choices[0].text)

In this example, we are using the OpenAI API to make a request to the ChatGPT model with a simple prompt. The model generates a response based on the input prompt and returns it to us. This response can then be used in a variety of ways, such as powering a chatbot or generating text for a website.

Using Python to unlock the power of OpenAI and ChatGPT is a great way to take your AI programming skills to the next level. With the extensive capabilities of these tools and the ease of use of Python, you can create sophisticated AI applications that can interact with users in a natural and human-like way. So why not give it a try and start building your own AI-powered projects today?

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