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 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"What is the answer to the following question based on the text: \"{text}\"?\nQuestion: {question}\nAnswer: ",
      max_tokens=50,
      n=1,
    )
    answer = response.choices[0].text.strip()
    
    return question, answer

def get_feedback(text, user_answer=None, continue_quiz='Yes'):
    if continue_quiz.lower() == 'no':
        return "Quiz ended. Thank you for participating!"

    question, correct_answer = generate_question_and_answer(text)

    if user_answer is not None:
        feedback = "Correct!" if user_answer.lower() == correct_answer.lower() else f"Incorrect! The correct answer was: {correct_answer}"
        return f"Question: {question}\nFeedback: {feedback}"
    else:
        return f"Question: {question}"

iface = gr.Interface(
    fn=get_feedback,
    inputs=[
        gr.inputs.Textbox(lines=5, label="Input Text"),
        gr.inputs.Textbox(lines=1, label="Your Answer"),
        gr.inputs.Radio(choices=["Yes", "No"], label="Continue?")
    ],
    outputs=gr.outputs.Textbox(label="Model Feedback"),
)

iface.launch()