app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")

def generate_questions(text):
    prompt = f"Ask 5 short, simple comprehension questions about this English coursebook text:\n\n\"{text}\""
    response = pipe(prompt, max_new_tokens=200)[0]["generated_text"]
    return response

demo = gr.Interface(fn=generate_questions, inputs="text", outputs="text")
demo.launch()