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Duplicate from aaaaaabbbbbbbdddddddduuuuulllll/poetry
Browse filesCo-authored-by: Abdullah almaedhgy <aaaaaabbbbbbbdddddddduuuuulllll@users.noreply.huggingface.co>
- .gitattributes +33 -0
- README.md +13 -0
- app.py +53 -0
- requirements.txt +3 -0
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README.md
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---
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title: Arabic Poetry Generator
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emoji: 🐠
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colorFrom: blue
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colorTo: red
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sdk: gradio
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sdk_version: 3.6
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app_file: app.py
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license: cc-by-nc-4.0
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duplicated_from: aaaaaabbbbbbbdddddddduuuuulllll/poetry
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gc
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import gradio as gr
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from transformers import pipeline, set_seed
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pipe = pipeline('text-generation', framework='pt', model='akhooli/ap2023', tokenizer='akhooli/ap2023')
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#gc.collect()
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samples = [['أنت'
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,1.0, 50, 1.0, 1.0, 114],['هل غادر'
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,1.0, 50, 1.0, 1.0, 114 ],['ألا ليت'
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,1.0, 50, 1.0, 1.0, 114 ],['يا قدس'
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,1.0, 50, 1.0, 1.0, 114],['عيد بأية حال'
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,1.0, 50, 1.0, 1.0, 114],['لكل شيء إذا ما'
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,1.0, 50, 1.0, 1.0, 114 ],['.'
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,1.0, 50, 1.0, 1.0, 114]]
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notes = """
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- Enter a short prompt or select (click) one of the examples and click SEND
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- Adjust parameters (temperture, top k, top p and penalty) through the slider (keep close to default values).
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- For the same seed (randomness), the same output is regenerated if other parameters are fixed. Seed should be 0 or more (not empty)
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- Clear and enter new prompt or select another example and SEND to regenerate
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- The '.' means start a new line from no prompt (your prompt need not be long)
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- Be patient: this runs on CPU (free tier)
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- Feedback (Twitter): @akhooli (https://twitter.com/akhooli/status/1611025232201977859)
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- Note/Disclaimer: may generate unaccepted or inappropriate content. Use at your own risk.
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"""
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def sayPoetry(prompt, temp=1.0, topk = 50, topp = 1.0, penalty=1.0, seed=114):
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if not int(seed) >= 0: seed=114
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set_seed(seed)
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gen = pipe(prompt, max_length=96, do_sample=True, temperature=temp, top_k=topk, top_p=topp, repetition_penalty=penalty,
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min_length = 64, no_repeat_ngram_size = 3, return_full_text=True,
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num_beams=5, num_return_sequences=1)[0]["generated_text"]
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poetry =""
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for line in gen.split('.')[:-1]:
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poetry += line #+ "\n"
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return poetry
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poetry = gr.Interface(fn=sayPoetry,
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inputs=[
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gr.Textbox(label="Enter short prompt or select from examples:"),
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gr.Slider(0.70, 1.2, step=0.01,value=1.0, label='control temperature'),
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gr.Slider(25, 100, step=1,value=50, label='control top k'),
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gr.Slider(0.80, 1.0, step=0.01,value=1.0, label='control top p'),
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gr.Slider(0.90, 1.50, step=0.01,value=1.0, label='control penalty'),
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gr.Number(value=139750, precision=0, label='Seed'),
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],
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outputs=[gr.Textbox(label="Generated Poetry:")],
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allow_flagging='never',
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title='Arabic Poetry Generation Demo (updated Jan. 2023)',
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description = "A simple demo of AI generated poetry based on 1M poems fine-tuned using AraGPT2 (be patient, runs on cpu)",
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examples=samples,
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cache_examples=False,
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article = notes)
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poetry.launch()
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requirements.txt
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transformers
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gradio #==3.0.2
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torch
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