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"] = os.getenv("OPENAI_API_KEY")  # Replace with your key

llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-1106')

def predict(message, history):
    global history_langchain_format # Create global history list for the chat
    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(fn=predict, title= 'Simple Chat Box', description= 'A simple chatbox hosted in HF by Adhya').launch()