import gc import gradio as gr from transformers import pipeline pipe = pipeline('text-generation', framework='pt', model='https://huggingface.co/akhooli/ap2023', tokenizer='akhooli/ap2023') #gc.collect() samples = [['أنت' ,1.0, 50, 1.0, 1.0],['هل غادر' ,1.0, 50, 1.0, 1.0 ],['ألا ليت' ,1.0, 50, 1.0, 1.0 ],['يا قدس' ,1.0, 50, 1.0, 1.0],['عيد بأية حال' ,1.0, 50, 1.0, 1.0],['لكل شيء إذا ما' ,1.0, 50, 1.0, 1.0 ],['.' ,1.0, 50, 1.0, 1.0]] #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=1.0, topk = 50, topp = 1.0, penalty=1.0): gen = pipe(prompt, max_length=96, do_sample=True, temperature=temp, top_k=topk, top_p=topp, repetition_penalty=penalty, min_length = 64, no_repeat_ngram_size = 3, return_full_text=True, num_beams=5, num_return_sequences=1)[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,value=1.0, label='control temperature'), gr.Slider(25, 100, step=1,value=50, label='control top k'), gr.Slider(0.80, 1.0, step=0.01,value=1.0, label='control top p'), gr.Slider(0.90, 1.20, step=0.01,value=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(show_error = True)