from transformers import pipeline, set_seed
import gradio as grad, random, re

gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2')
with open("ideas.txt", "r") as f:
    line = f.readlines()

def generate(starting_text):
    seed = random.randint(100, 1000000)
    set_seed(seed)

    if starting_text == "":
        starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()
        starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text)

    response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=1)
    for x in response:
        resp = x['generated_text'].strip()
        if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False:
            return resp

txt = grad.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
out = grad.Textbox(lines=1, label="Generated Prompt")

title = "Stable Diffusion Prompt Generator"
description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: "Stable Diffusion". To use it, simply submit your text. To learn more about the model, [click here](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).<br>'

grad.Interface(fn=generate,
               inputs=txt,
               outputs=out,
               title=title,
               description=description,
               article='',
               allow_flagging='never',
               theme="default").launch(enable_queue=True, debug=True)