app.py

#level 1 text generator
import gradio as gr

gr.Interface.load("huggingface/EleutherAI/gpt-neo-1.3B").launch()


#import gradio as gr
#from transformers import pipeline

#generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
#examples = [
#    ["Once upon a time, Dr. Woo was teaching computer programming in a school."],
#    ["Once upon a time, Dr. Woo was walking in a park. He "]
#]

#def generate(text):
#    result=generator(text, max_length=100, num_return_sequences=3)
#    return result[0]['generated_text']

#gr.Interface(fn=generate, inputs=gr.inputs.Textbox(lines=5, label='input text'), outputs=gr.outputs.Textbox(label='output text'), title='My First Text Generator', examples=examples).launch()