import subprocess
subprocess.check_call(["pip", "install", "-q openai"])
subprocess.check_call(["pip", "install", "-q gradio", "transformers","python-dotenv","--quiet gradio"])

#!pip install -q openai
#!pip install -q gradio
#!pip install gradio
#!pip install --quiet gradio
#!pip install transformers
#!pip install python-dotenv

import gradio as gr
from transformers import TFAutoModelForCausalLM, AutoTokenizer
import openai

from dotenv import load_dotenv
import os
load_dotenv()  # load environment variables from .env file
api_key = os.getenv("OPENAI_API_KEY")  # access the value of the OPENAI_API_KEY environment variable

def openai_chat(prompt):
    completions = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=1024,
        n=1,
        temperature=0.5,
    )

    message = completions.choices[0].text
    return message.strip()

def chatbot(input, history=[]):
    output = openai_chat(input)
    history.append((input, output))
    return history, history

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