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import gc
import gradio as gr
from transformers import pipeline
pipe = pipeline('text-generation', framework='pt', model='akhooli/ap2023', tokenizer='akhooli/ap2023')
#gc.collect()
samples = [['أنت'
,.96],['هل غادر'
, 1.0],['ألا ليت'
,0.99],['يا قدس'
, 0.98],['عيد بأية حال'
,0.94],['لكل شيء إذا ما'
,0.92],['.',0.99]]
notes = """
- Enter a short prompt or select (click) one of the examples
- Control temperture (adjust) through slider (Higher usually better).
- Clear and enter new prompt or select another example to regenerate
- The '.' means start a new line (your prompt need not be long)
- Be patient: this runs on CPU (free tier)
- Feedback (Twitter): @akhooli
"""
def sayPoetry(prompt, temp=0.95):
gen = pipe(prompt, max_length=96, temperature = temp)[0]["generated_text"]
poetry =""
for line in gen.split('.')[:-1]:
poetry += line + "\n"
return poetry
poetry = gr.Interface(fn=sayPoetry,
inputs=[
gr.inputs.Textbox(label="Enter short prompt or select from examples:", placeholder="أنا الذي"),
gr.inputs.Slider(0.80, 1.0, step=0.01,default=0.95, label='control temperature')
],
outputs=[gr.outputs.Textbox(label="Generated Poetry:")],
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=samples,
article = notes)
poetry.launch() |