app.py

from openai import OpenAI
import gradio as gr
import json
import os

client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))

assistant = os.environ.get("ASSISTANT")

thread = client.beta.threads.create()

def predict(input,history):
  message = client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content=input
   )
  run = client.beta.threads.runs.create(
       thread_id=thread.id,
       assistant_id=assistant
       )
  while True:
    run = client.beta.threads.runs.retrieve( thread_id=thread.id,run_id=run.id)
    if run.status=='completed':
      messages = client.beta.threads.messages.list(thread_id=thread.id)
      current_message= messages.data[0]
      return(current_message.content[0].text.value)

chatbot = gr.Chatbot(show_copy_button=True)

gr.ChatInterface(fn=predict, chatbot=chatbot).launch(share=True)