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'],['لولا كتاب'],['ألا ليت'],['يا قدس'],['عيد بأية حال'],['لكل شيء إذا ما'],['.']]
notes = """
- Enter a short prompt or select one of the examples 
- generate poetry 
- be patient: this runs on CPU (free tier)
"""
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
temperature = gr.inputs.Slider(0.70, 1.0, step=0.01, label='control  temperature'),                
input_prompt = gr.inputs.Textbox(label="Enter your prompt or select from examples:", placeholder="أنا الذي", lines=1)
output_text = gr.outputs.Textbox(label="Generated Poetry:")
poetry = gr.Interface(fn=sayPoetry, inputs=[input_prompt, temperature], outputs=output_text, 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,
                   theme = 'darkhuggingface')

poetry.launch()