from langchain.chat_models import ChatOpenAI
from langchain.schema import AIMessage, HumanMessage
import openai
import gradio as gr
import os
os.environ["OPENAI_API_KEY"] = "sk-..."  # Replace with your 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
    return "yes"

gr.ChatInterface(predict).launch()

# https://www.gradio.app/guides/creating-a-chatbot-fast