问如何在GPT-3上保存预培训的API？

EN

import openai

class Example():
    """Stores an input, output pair and formats it to prime the model."""
def __init__(self, inp, out):
    self.input = inp
    self.output = out

def get_input(self):
    """Returns the input of the example."""
    return self.input

def get_output(self):
    """Returns the intended output of the example."""
    return self.output

def format(self):
    """Formats the input, output pair."""
    return f"input: {self.input}\noutput: {self.output}\n"


class GPT:
    """The main class for a user to interface with the OpenAI API.
    A user can add examples and set parameters of the API request."""
def __init__(self, engine='davinci',
             temperature=0.5,
             max_tokens=100):
    self.examples = []
    self.engine = engine
    self.temperature = temperature
    self.max_tokens = max_tokens

def add_example(self, ex):
    """Adds an example to the object. Example must be an instance
    of the Example class."""
    assert isinstance(ex, Example), "Please create an Example object."
    self.examples.append(ex.format())

gpt2 = GPT(engine="davinci", temperature=0.5, max_tokens=100)
gpt2.add_example(Example('Two plus two equals four', '2 + 2 = 4'))
gpt2.add_example(Example('The integral from zero to infinity', '\\int_0^{\\infty}'))

prompt1 = "x squared plus y squared plus equals z squared"
output1 = gpt2.submit_request(prompt1)