app.py

# import gradio as gr

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

# import gradio as gr

# description = "Story generation with GPT"
# examples = [["An adventurer is approached by a mysterious stranger in the tavern for a new quest."]]
# demo = gr.Interface.load("models/EleutherAI/gpt-neo-1.3B", description=description, examples=examples)
# demo.launch()

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
examples = [
    ["Then all went silent..."],
]

def generate(text):
    result=generator(text, min_length=200, max_length=600, 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='Testing Text Generator', examples=examples).launch()