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 and click SEND 
- Adjust temperture (parameter) through the slider (higher usually better).
- 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)
"""
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()