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#level 1 text generator
import gradio as gr
examples = [
["Once upon a time, "],
["One day, "]
]
gr.load("huggingface/psmathur/orca_mini_3b", title='My Second Text Generator', examples=examples).launch()
#import gradio as gr
#from transformers import pipeline
#generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
#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() |