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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)) |