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import gc | |
import gradio as gr | |
from transformers import pipeline | |
pipe = pipeline('text-generation', model='akhooli/ap2023', tokenizer='akhooli/ap2023') | |
gc.collect() | |
def sayPoetry(prompt): | |
gen = pipe(prompt, max_length=96)[0]["generated_text"] | |
poetry ="" | |
for line in gen[0].split('.')[:-1]: | |
poetry += line + "\n" | |
return poetry | |
tb = gr.Textbox(label="Enter your prompt or select from examples:", placeholder="أنا الذي", lines=1) | |
p_app = gr.Interface(fn=sayPoetry, inputs=tb, outputs="text", allow_flagging='never', | |
title='Arabic Poetry Generation Demo (updated Jan. 2023)', | |
description = "a simple demo of AI generated poetry based on 1M poems fine-tuned using AraGPT2 (be patient, runs on cpu)", | |
examples=[['أنت'],['لولا كتاب'], ['ألا ليت'],['يا قدس'],['عيد بأية حال'], ['لكل شيء إذا ما'],['.']]) | |
p_app.launch() |