Semantic Kernel

import semantic_kernel as sk
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, OpenAIChatCompletion
import semantic_kernel.ai.open_ai as sk_oai


kernel = sk.Kernel()

#useAzureOpenAI = False

# if useAzureOpenAI:
#     deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()
#     kernel.add_text_completion_service("azureopenai", AzureChatCompletion(deployment, endpoint, api_key))
# else:
#api_key, org_id = sk.openai_settings_from_dot_env()
api_key , org_id = sk_oai.openai_settings_from_dot_env()
kernel.add_text_completion_service("openai", OpenAIChatCompletion("gpt-3.5-turbo-0301", api_key, org_id))

print("You made a kernel!")

import semantic_kernel as sk
from semantic_kernel.connectors.ai.hugging_face import HuggingFaceTextCompletion

kernel = sk.Kernel()

kernel.add_text_completion_service("huggingface", HuggingFaceTextCompletion("gpt2", task="text-generation"))

print("You made an open source kernel using an open source AI model!")