app.py

import os
import openai
import gradio as gr

openai.api_key ="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"

start_sequence = "\nAI:"
restart_sequence = "\nHuman: "

def predict(input, history=[]):

    s = list(sum(history, ()))
    s.append(input)
    response = openai.Completion.create(
    model="text-davinci-003",
    prompt= str(s), 
    temperature=0.9,
    max_tokens=200,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0.6,
    stop=[" Human:", " AI:"])
    # tokenize the new input sentence
    response2 = response["choices"][0]["text"]
    history.append((input, response2))

    return history, history

gr.Interface(fn=predict, inputs=["text",'state'], outputs=["chatbot",'state']).launch()