To create an app using GPT-3 Python, you will need to follow these steps:

1. Install the transformers library: GPT-3 Python is part of the transformers library, which can be installed using pip:

pip install transformers

Obtain an API key: GPT-3 Python uses the OpenAI API to access the GPT-3 model. You will need to sign up for an API key and keep it safe, as it allows you to use the API and access the model.

Import the necessary classes: In your Python code, you will need to import the GPT3Model class from the transformers library and the openai module, which contains the functions to interact with the OpenAI API:

from transformers import GPT3Model
import openai

Set the API key: Before using the OpenAI API, you will need to set your API key:

openai.api_key = "YOUR_API_KEY"

Load the GPT-3 model: You can load the GPT-3 model using the GPT3Model class. You will need to specify the model size (e.g., “davinci”or “curie”) and the API key:

model = GPT3Model.from_pretrained("davinci", api_key="YOUR_API_KEY")

Generate text: Once the model is loaded, you can use it to generate text by providing a prompt and specifying the number of tokens (words) to generate. For example:

prompt = "What is the weather like today?"
output = model.generate(prompt, max_length=100)
print(output[0]['generated_text'])

This will generate a response to the prompt using the GPT-3 model. You can use this output in your app or perform additional processing on it.

Keep in mind that these are just the basic steps to use GPT-3 Python. There are many additional options and features that you can use to customize the model and the generated text. You should refer to the documentation for more information.