app.py

import gradio as gr
# Load model directly
# Use a pipeline as a high-level helper
from transformers import pipeline


def greet(name):
    generator = pipeline("text-generation", model="surya-narayanan/high_school_mathematics-gpt2") 
    res= generator("what is similar traingles")
    print(res)

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch(share=True)