import subprocess
subprocess.check_call(["pip", "install", "-q", "openai"])
subprocess.check_call(["pip", "install", "-q", "gradio", "transformers", "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=0.4,)
    message = completions.choices[0].text
    return message.strip()

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

title = "ChatSherman"
description = "This is an AI chatbot powered by ShermanAI using GPT-3 model."
examples = [
    ["Hello, how are you?", []],
    ["What's the meaning of life?", []],
    ["Tell me a joke.", []]
]
inputs = [gr.inputs.Textbox(label="Talk to ChatSherman: "), "state"]
outputs = ["chatbot", "state"]
interface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description, examples=examples)
interface.launch(debug=True)