Unofficial Python client library for the OpenAI and Azure OpenAI APIs
Project description
GPRU: Unofficial Python Client Library for the OpenAI and Azure OpenAI APIs
GPRU is an unofficial Python client library for the OpenAI and Azure OpenAI APIs with improved usability through comprehensive annotations.
WARNING: GPRU is currently under development and any destructive changes may be made until version 1.0.0
.
Installation
pip install gpru
Examples
OpenAI API
Notes Before anything else, you must ensure that the API key is set as an environment variable named OPENAI_API_KEY
.
Here is an example of chat completion, also known as ChatGPT.
import os
from gpru.openai.api import (
ChatCompletionModel,
ChatCompletionRequest,
OpenAiApi,
UserMessage,
)
key = os.environ["OPENAI_API_KEY"]
api = OpenAiApi(key)
req = ChatCompletionRequest(
model=ChatCompletionModel.GPT_35_TURBO, messages=[UserMessage("Hello!")]
)
chat_completion = api.create_chat_completion(req)
print(chat_completion.content)
# Greetings! How can I assist you today?
Azure OpenAI API
The following code replaces the same example with the Azure OpenAI API.
Notes Set the following environment variables before executing the program.
Variable name | Value |
---|---|
AZURE_OPENAI_API_ENDPOINT |
URL in the form of https://{your-resource-name}.openai.azure.com/ . |
AZURE_OPENAI_API_KEY |
Secret key. |
AZURE_OPENAI_API_DEPLOYMENT_ID |
Custom name you chose for your deployment when you deployed a model. |
import os
from gpru.azure.preview_2023_06_01 import (
AzureOpenAiApi,
ChatCompletionRequest,
UserMessage,
)
endpoint = os.environ["AZURE_OPENAI_API_ENDPOINT"]
key = os.environ["AZURE_OPENAI_API_KEY"]
deployment_id = os.environ["AZURE_OPENAI_API_DEPLOYMENT_ID"]
api = AzureOpenAiApi(endpoint, key)
req = ChatCompletionRequest(messages=[UserMessage("Hello!")])
chat_completion = api.create_chat_completion(deployment_id, req)
print(chat_completion.content)
# Greetings! How can I assist you today?
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