from pywebio import start_server
from pywebio.input import *
from pywebio.output import *
import pywebio.pin as pin
import time
from diffusers import FluxPipeline
import torch
from pathlib import Path
import re
from datetime import datetime


prev_prompt="A cat wearing an old racing helmet and goggles holding a sign that says zoom zoom"

ckpt_id = "./FLUX.1-schnell"

# denoising
pipe = FluxPipeline.from_pretrained(
    ckpt_id,
    torch_dtype=torch.bfloat16,
    use_safetensors=True,
)
pipe.vae.enable_tiling()
pipe.vae.enable_slicing()
pipe.enable_sequential_cpu_offload() # offloads modules to CPU on a submodule level (rather than model level)

def slugify(text):
    # remove non-word characters and foreign characters
    text = re.sub(r"[^\w\s]", "", text)
    text = re.sub(r"\s+", "-", text)
    return text

def flux_run(prompt, height, width, num_images_per_prompt, num_inference_steps, max_sequence_length, dirpath):
    # TODO add check to make sure there isn't already one running from another source (e.g. from phone when on computer)
    output = pipe(
        prompt,
        height=height,
        width=width,
        num_images_per_prompt=num_images_per_prompt,
        num_inference_steps=num_inference_steps,
        max_sequence_length=max_sequence_length,
        guidance_scale=0.0,
    )
    # print('Max mem allocated (GB) while denoising:', torch.cuda.max_memory_allocated() / (1024 ** 3))

    for idx, image in enumerate(output.images):
        timestamp = datetime.now().strftime("%Y%m%d%-H%M%S")
        image_name = f'{slugify(prompt[:64])}-{idx}-{timestamp}.png'
        image_path = dirpath / image_name
        image.save(image_path)

def btn_click(btn_val):
    DIR_NAME="/home/tonydero/remdirs/immich/"
    dirpath = Path(DIR_NAME)
    if btn_val == 'Generate':
        with put_loading():
            start_time = datetime.now()
            put_text("Started generating images at " + start_time.strftime("%H:%M:%S"))
            flux_run(pin.pin.prompt, 720, 1280, 4, 4, 128, dirpath)
        stop_time = datetime.now()
        run_time = stop_time - start_time
        rt_min = run_time.minutes
        rt_sec = run_time.seconds
        put_success("Images finished generating in " + rt_min + "m " + rt_sec + "s", closeable=True)

def main():  # PyWebIO application function
    put_text("Prompt:", inline=True)
    pin.put_input("prompt", type="text", value=prev_prompt)
    # TODO add the other parameters
    put_buttons(['Generate'], onclick=btn_click)

start_server(main, port=8080, debug=True, auto_open_webbrowser=False)