app.py

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