app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='sr5434/gptQuotes', tokenizer='facebook/opt-350m')

def generate(text):
    result = generator("Solve the following problem in python:" + text, max_length=300, num_return_sequences=1)
    return result[0]["generated_text"][23:]

examples = [
    [''],
    [''],
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=examples
)

demo.launch()