app.py

import gradio as gr
import openai

# Replace with your OpenAI API key
openai.api_key = "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"

def generate_question_and_answer(text):
    response = openai.Completion.create(
      engine="gpt-3.5-turbo-0301",
      prompt=f"Create a multiple-choice question based on the following text: \"{text}\".\nQuestion: ",
      max_tokens=50,
      n=1,
    )
    question = response.choices[0].text.strip()

    response = openai.Completion.create(
      engine="gpt-3.5-turbo-0301",
      prompt=f"Generate 4 possible answers for the question: \"{question}\" based on the text: \"{text}\".\n1. Answer A: \n2. Answer B: \n3. Answer C: \n4. Answer D: ",
      max_tokens=50,
      n=1,
    )
    answers_text = response.choices[0].text.strip()
    answers = answers_text.split("\n")

    return question, answers

def get_feedback(text=None, user_answer=None, continue_quiz=None, state=None):
    if state is None:
        state = {}

    if 'step' not in state:
        state['step'] = 'get_text'

    if state['step'] == 'get_text':
        if text:
            state['question'], state['answers'] = generate_question_and_answer(text)
            state['step'] = 'get_answer'
            return f"Question: {state['question']}\nOptions:\n" + "\n".join(state['answers']), state
        else:
            return "Please input text to generate a question.", state

iface = gr.Interface(
    fn=get_feedback,
    inputs=[
        gr.inputs.Textbox(lines=5, label="Input Text"),
        gr.inputs.Radio(choices=["1", "2", "3", "4"], label="Your Answer"),
        gr.inputs.Radio(choices=["Yes", "No"], label="Continue?")
    ],
    outputs=[
        gr.outputs.Textbox(label="Model Output"),
        gr.outputs.State(label="State")
    ],
    live=True
)

iface.launch()