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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
sonnets_pretrained_model = "datificate/gpt2-small-spanish"
sonnets_tokenizer = AutoTokenizer.from_pretrained(sonnets_pretrained_model, use_fast=True)
sonnets_tuned_model = 'hackathon-pln-es/gpt2-small-spanish-disco-poetry'
sonnets_pipe = pipeline('text2text-generation', model=sonnets_tuned_model, tokenizer=sonnets_tokenizer)
def make_new_sonnet(prompt, max_lenght):
ouputs = sonnets_pipe(prompt, max_length=max_lenght,
num_beams=5,
early_stopping=True,
repetition_penalty=20.0,
num_return_sequences=1)
return ouputs[0]['generated_text']
article = "<p style='text-align: center'>Don't miss this other cool space based in a model of different styles of poetry in spanish: <a href='https://huggingface.co/spaces/hackathon-pln-es/poem-generation-es' target='_blank'>poem-generation-es</a></p>"
examples = [
['vendrá la muerte y tendrá tus ojos',140],
['buenas cosas pasan cuando anochece', 200],
['al despertar el dinosaurio todavía estaba ahí', 140 ]
]
iface = gr.Interface(fn=make_new_sonnet,
title= "Generador de poesía basada en sonetos en español",
inputs=[
gr.inputs.Textbox(lines=2, placeholder="Escrbe algo para comenzar", label='Escribe algo para comenzar'),
gr.inputs.Slider(minimum = 60, maximum = 200, default = 140, step = 10, label='Salida de caracteres')],
outputs=[
gr.outputs.Textbox(label="Tu poema"),
],
article= article,
examples = examples
)
iface.launch(enable_queue=True) |