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#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() |