Spaces:
Sleeping
Sleeping
import os | |
from datetime import datetime | |
from langchain import OpenAI | |
from langchain.chains import load_chain | |
from langchain.chains.question_answering import load_qa_chain | |
from langchain.embeddings import OpenAIEmbeddings | |
from langchain.llms import OpenAIChat | |
from config.config import MAX_TOKENS, TOOLS_DEFAULT_LIST | |
def set_openai_api_key(api_key, use_gpt4): | |
"""Set the api key and return chain. | |
If no api_key, then None is returned. | |
""" | |
if api_key and api_key.startswith("sk-") and len(api_key) > 50: | |
os.environ["OPENAI_API_KEY"] = api_key | |
print("\n\n ++++++++++++++ Setting OpenAI API key ++++++++++++++ \n\n") | |
print(str(datetime.now()) + ": Before OpenAI, OPENAI_API_KEY length: " + str( | |
len(os.environ["OPENAI_API_KEY"]))) | |
if use_gpt4: | |
llm = OpenAIChat(temperature=0, max_tokens=MAX_TOKENS, model_name="gpt-4") | |
print("Trying to use llm OpenAIChat with gpt-4") | |
else: | |
print("Trying to use llm OpenAI with text-davinci-003") | |
llm = OpenAI(temperature=0, max_tokens=MAX_TOKENS, model_name="text-davinci-003") | |
print(str(datetime.now()) + ": After OpenAI, OPENAI_API_KEY length: " + str( | |
len(os.environ["OPENAI_API_KEY"]))) | |
chain, express_chain, memory = load_chain(TOOLS_DEFAULT_LIST, llm) | |
# Pertains to question answering functionality | |
embeddings = OpenAIEmbeddings() | |
if use_gpt4: | |
qa_chain = load_qa_chain(OpenAIChat(temperature=0, model_name="gpt-4"), chain_type="stuff") | |
print("Trying to use qa_chain OpenAIChat with gpt-4") | |
else: | |
print("Trying to use qa_chain OpenAI with text-davinci-003") | |
qa_chain = OpenAI(temperature=0, max_tokens=MAX_TOKENS, model_name="text-davinci-003") | |
print(str(datetime.now()) + ": After load_chain, OPENAI_API_KEY length: " + str( | |
len(os.environ["OPENAI_API_KEY"]))) | |
os.environ["OPENAI_API_KEY"] = "" | |
return chain, express_chain, llm, embeddings, qa_chain, memory, use_gpt4 | |
return None, None, None, None, None, None, None | |