How to Use the OpenAI API (Chapter 3 Image Search Example)

In this blog post, we'll be going over how to use the OpenAI API to search for images. We'll be using the Chapter 3 Image Search Example from the OpenAI documentation.

Prerequisites

In order to follow along with this blog post, you'll need to have the following:

• An OpenAI account
• An OpenAI API key

If you don't have an OpenAI account, you can sign up for one here. Once you have an account, you can generate an API key here.

Setting up the Environment

Before we can start using the OpenAI API, we need to set up our environment. We'll be using the requests library to make our API calls.

import requests

# Your OpenAI API key
api_key = "YOUR_API_KEY"

# The base URL for the OpenAI API
base_url = "https://api.openai.com/v1/engines/davinci/completions"

Making the API Call

Now that we have our environment set up, we can make our API call. We'll need to specify the following parameters in our API call:

• api_key: Your OpenAI API key
• engine: The name of the engine you want to use. For this blog post, we'll be using the davinci engine.
• max_tokens: The maximum number of tokens you want the engine to return.
• temperature: A value between 0 and 1 that controls the randomness of the results. A higher temperature will result in more random results.
• top_p: A value between 0 and 1 that controls the diversity of the results. A higher top_p will result in more diverse results.
• n: The number of results you want the engine to return.

# The parameters for the API call
params = {
    "api_key": api_key,
    "engine": "davinci",
    "max_tokens": 1000,
    "temperature": 0.9,
    "top_p": 0.9,
    "n": 10
}

# Make the API call
response = requests.get(base_url, params=params)

# Print the response
print(response.json())

Parsing the Results

The results of the API call are returned as a JSON object. We can use the json library to parse the results.

# Import the json library
import json

# Load the results into a Python dictionary
results = json.loads(response.text)

# Print the results
print(results)

Conclusion

In this blog post, we've gone over how to use the OpenAI API to search for images. We've set up our environment and made an API call to the davinci engine. We've also parsed the results of the API call.

Yeah! On Latte Art

2023.02.14 - [About IT/Tech Review] - How to Use the OpenAI API (Chapter 1 overview)

How to Use the OpenAI API (Chapter 1 overview)

2023.02.14 - [About IT/Tech Review] - How to Use the OpenAI API (Chapter 2 Using Example)

How to Use the OpenAI API (Chapter 2 Using Example)