app.py

import gradio as gr
from transformers import pipeline

model = pipeline("text-generation")


def predict(prompt):
    completion = model(prompt)[0]["generated_text"]
    return completion

    # We instantiate the Textbox class
textbox = gr.Textbox(label="Type your name here:", placeholder="John Doe", lines=2)

title = "Ask Louise a Question"
description = """
The bot was trained to answer questions based module documentation. Ask Louise anything!
<img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
"""
article = "Check out [the original Rick and Morty Bot](https://huggingface.co/spaces/kingabzpro/Rick_and_Morty_Bot) that this demo is based off of."

gr.Interface(fn=predict, inputs="textbox", outputs="text",
    title=title,
    description=description,
    article=article,
    examples=[["What are you doing?"], ["Where should we time travel to?"]],
).launch()