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import datetime
from chat_anything.chatbot.personality import generate_personality_prompt
from langchain.prompts import PromptTemplate
from langchain import ConversationChain
from langchain.chains.conversation.memory import ConversationBufferMemory
from langchain.chat_models import ChatOpenAI
from langchain.embeddings.openai import OpenAIEmbeddings
import os
import random
import string
def load_chain(llm, class_concept=None):
chain = None
memory = None
personality_text = None
print(llm)
if llm:
print("class_concept", class_concept)
if class_concept is None:
class_concept = 'AI assistant'
person_template, personality_text = generate_personality_prompt(llm, class_concept)
PROMPT_TEMPLATE = PromptTemplate(
input_variables=["history", "input"],
template=person_template,
)
chain = ConversationChain(
prompt=PROMPT_TEMPLATE,
llm=llm,
verbose=False,
memory=ConversationBufferMemory(ai_prefix="You"),
)
print("New concept done for ", class_concept)
return chain, memory, personality_text
def set_openai_api_key(api_key, use_gpt4, history=None, max_tokens=1024, use_local_llm=True):
"""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.datetime.now()) + ": Before OpenAI, OPENAI_API_KEY length: " + str(
len(os.environ["OPENAI_API_KEY"])))
if use_gpt4:
llm = ChatOpenAI(
temperature=0, max_tokens=max_tokens, model_name="gpt-4")
print("Trying to use llm ChatOpenAI with gpt-4")
else:
print("Trying to use llm ChatOpenAI with gpt-3.5-turbo")
llm = ChatOpenAI(temperature=0, max_tokens=max_tokens,
model_name="gpt-3.5-turbo")
print(str(datetime.datetime.now()) + ": After OpenAI, OPENAI_API_KEY length: " + str(
len(os.environ["OPENAI_API_KEY"])))
print(str(datetime.datetime.now()) + ": After load_chain, OPENAI_API_KEY length: " + str(
len(os.environ["OPENAI_API_KEY"])))
os.environ["OPENAI_API_KEY"] = ""
history = history or []
history.append(['', '[SYSTEM] OPENAI_API_KEY has been set, you can generate your object and talk to it now!'])
uid = ''.join(random.sample(string.ascii_lowercase + string.ascii_uppercase, 5))
video_file_path = os.path.join('tmp', uid, 'videos/tempfile.mp4')
audio_file_path = os.path.join('tmp', uid, 'audio/tempfile.mp3')
return llm, use_gpt4, history, uid, video_file_path, audio_file_path
elif use_local_llm:
os.environ["OPENAI_API_KEY"] = 'EMPTY'
print("\n\n ++++++++++++++ Using local LLM ++++++++++++++ \n\n")
llm = ChatOpenAI(temperature=0, max_tokens=max_tokens,
model_name="gpt-3.5-turbo")
history = history or []
history.append(['', '[SYSTEM] You are using free local LLM, you can generate your object and talk to it now!'])
uid = ''.join(random.sample(string.ascii_lowercase + string.ascii_uppercase, 5))
video_file_path = os.path.join('tmp', uid, 'videos/tempfile.mp4')
audio_file_path = os.path.join('tmp', uid, 'audio/tempfile.mp3')
return llm, use_gpt4, history, uid, video_file_path, audio_file_path
return None, None, None, None, None, None |