poetry2023 / app.py
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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'
,None, None, None, None],['هل غادر'
,None, None, None, None ],['ألا ليت'
,None, None, None, None ],['يا قدس'
,None, None, None, None],['عيد بأية حال'
,None, None, None, None],['لكل شيء إذا ما'
,None, None, None, None ],['.'
,None, None, None, None]]
#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 and click SEND
- Adjust parameters (temperture, top k, top p and penalty) through the slider (keep close to default values).
- Clear and enter new prompt or select another example and SEND to regenerate
- The '.' means start a new line from no prompt (your prompt need not be long)
- Be patient: this runs on CPU (free tier)
- Feedback (Twitter): @akhooli (https://twitter.com/akhooli/status/1611025232201977859)
- Note/Disclaimer: may generate unaccepted or inappropriate content. Use at your own risk.
"""
def sayPoetry(prompt, temp=0.95, topk = 50, topp = 0.92, penalty=1.0):
gen = pipe(prompt, max_length=96, temperature = temp, top_k=topk, top_p=topp, repetition_penalty=penalty)[0]["generated_text"]
poetry =""
for line in gen.split('.')[:-1]:
poetry += line #+ "\n"
return poetry
poetry = gr.Interface(fn=sayPoetry,
inputs=[
gr.Textbox(label="Enter short prompt or select from examples:"),
gr.Slider(0.80, 1.0, step=0.01,default=0.99, label='control temperature'),
gr.Slider(25, 100, step=1,default=50, label='control top k'),
gr.Slider(0.80, 1.0, step=0.01,default=1.0, label='control top p'),
gr.Slider(0.90, 1.20, step=0.01,default=1.0, label='control penalty'),
],
outputs=[gr.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,
cache_examples=False,
article = notes)
poetry.launch()