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from langchain_openai import ChatOpenAI | |
from langchain.schema import AIMessage, HumanMessage | |
import os | |
import gradio as gr | |
os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY") | |
llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613') | |
def predict(message, history): | |
history_langchain_format = [] | |
for human, ai in history: | |
history_langchain_format.append(HumanMessage(content=human)) | |
history_langchain_format.append(AIMessage(content=ai)) | |
history_langchain_format.append(HumanMessage(content=message)) | |
gpt_response = llm(history_langchain_format) | |
return gpt_response.content | |
gr.ChatInterface(predict).launch(share=True) |