import streamlit as st
import numpy as np
from PIL import Image
 
def main():
    st.title("Haltmann Diffusion Algorithm")
 
    slider = st.slider("Slider", 0, 255, 128) # default value=128, min=0, max=255
    st.title("Haltmann Diffusion Algorithm [C] 20XX ")
 
import streamlit as st
st.write("Welcome! Please wait ?? years for the ai to be done.")


import streamlit as st
st.markdown("Welcome! Please wait ?? years for the ai to be done.")

import streamlit as st

from PIL import Image

import numpy as np

 
def inpaint(img, mask):

    """Inpaints the given image using the given mask.

 

    Args:

        img: The image to inpaint. Must be a 3-channel RGB image.

        mask: The inpainting mask. Must be a binary 3-channel image 

            with 1s indicating the area to inpaint and 0s indicating 

            the area to leave unchanged.

 

    Returns:

        The inpainted image as a 3-channel RGB numpy array.     """
## V0.2
import streamlit as st
import numpy as np
from PIL import Image
import requests
import io


st.set_option('deprecation.showfileUploaderEncoding', False)


@st.cache(allow_output_mutation=True)
def load_image(img):
    im = Image.open(img)
    return im

    
def main():

    st.title("Dall-E Flow")

    uploaded_file = st.file_uploader("Choose an image", type="jpg")

    if uploaded_file is not None:         # if user has uploaded file, display it in the app UI 		# along with the option to edit it 		# (i.e., erase portions of the image using a brush tool) 		# or download it after editing is complete 	     img = load_image(uploaded_file)       st.image(img, caption='Original Image', use_column_width=True)        # create "Erase" button and erase brush size slider         erase = st.button('Erase')          brushsize = st.slider('Brush Size', 0, 100, 5, key='brush')          # create "Download" button and hide it by default           download = st.button('Download')           download = download if not erase else None            # define functions for handling mouse events             def onclick(x, y):                 draw[int(y)-brushsize:int(y)+brushsize+1, int(x)-brushsize:int(x)+brushsize+1] \                     *= 0                  def ondragstart():                      pass                   def ondragmove():                      pass                   def ondragend():                      pass                    # set up event handlers for when "Erase" button is clicked              if erase:                  draw = img._numpy().copy()                  width, height = draw[:, :3].shape[1:]                  xylims=(0., width), (0., height)                   figtoolbar=dict(_visible=False),                     _onclick=onclick, _ondragstart=ondragstart(), _ondragmove=ondragmove(), _ondragend=ondragend())                    pxsz=(width/height)/100*5                 pltlytools="boxselect", "lassoselect", "pan", "wheelzoom", "reset"                figkwargs={'layout': go .Layout(*figtoolbar)}                with out:                     clear()                     show(*pltlytools)(draw[:, :3], **figkwargs))                       elif download:               return sendfiles([BytesIO((255*draw).astype('uint8'))], [f'dall-e-{time()}.png'])                        else:                       return None                                         main()