app.py

import openai
import gradio as gr
openai.api_key ='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'
prompt="The following is the prompt from teacher to a student to clarify doubts working in canvas infrastructure"

def openai_chat(prompt):
    completions = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt+"The following is the assistant for David tais work who is an instructor",
        max_tokens=1024,
        n=1,
        temperature=0.5,
        frequency_penalty=0,
        presence_penalty=0.6,
        stop=[" Human:", " AI:"]
    )

    message = completions.choices[0].text
    return message.strip()
def chatbot_his(input, history=[]):
    output = openai_chat(input)
    history.append((input, output))
    return history, history
gr.Interface(fn = chatbot_his,
             inputs = ["text",'state'],
             outputs = ["chatbot",'state']).launch(share=True)