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

USERNAME = os.environ['USERNAME']
PASSWORD = os.environ['PASSWORD']

llm = ChatOpenAI(temperature=1.0, model='ft:gpt-3.5-turbo-1106:tardis-ltd:fine-tune-for-uobd:9duA9Fke')

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, title="Birmingham DubaiAI Chat",).launch(auth=(USERNAME, PASSWORD))