app.py

"""
@author: idoia lerchundi
"""
import urllib.request
from PIL import Image,ImageFile
import streamlit as st
import numpy as np
import requests
from io import BytesIO

def local_css(file_name):
    with open(file_name) as f:
        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)

st.set_page_config(
   page_title="Streamlit iCodeIdoia",
   page_icon="images/ilpicon1.png",layout="wide",initial_sidebar_state="expanded"
)

st.image("images/banner.jpg")

# ---- LOAD
local_css("styles/style.css")

def fill_square_cropper(img):
    imgsz = [img.height, img.width]

    original_size = imgsz

    smallestsize = min(imgsz)
    biggestsize = max(imgsz)

    #get vertical color filler
    avg_color_per_row = np.average(img, axis=0)
    avg_color = np.average(avg_color_per_row, axis=0)

    if img.height > img.width:
      #height is bigger than width
      area = (0, 0, img.width + (img.height - img.width),img.height)
      cropped_img = img.crop(area)
      newimgsz = [cropped_img.height, cropped_img.width]
    
      newimg = Image.new('RGB', ([newimgsz[1],newimgsz[0]]), (round(avg_color[0]), round(avg_color[1]), round(avg_color[2])))

      newpos = (img.height-img.width)
      newpos = newpos/2
      newimg.paste(img,(int(newpos),0))

      return newimg

    #vertically add color
    if img.width > img.height: 
      area = (0, 0, img.width, img.height+ (img.width - img.height))
      cropped_img = img.crop(area)
      newimgsz = [cropped_img.height, cropped_img.width]
    
      newimg = Image.new('RGB', ([newimgsz[1],newimgsz[0]]), (round(avg_color[0]), round(avg_color[1]), round(avg_color[2])))
 
      newpos = (img.width-img.height)
      newpos = newpos/2
      newimg.paste(img,(0,(int(newpos))))

      return newimg

# ---- TABS
tab1, tab2 = st.tabs(["Demo","Application"])

with tab1:   
   # Handle first image
   url = "https://raw.githubusercontent.com/webdevserv/images_video/main/cowportrait.jpg" 
   # Handle second image
   url2 = "https://raw.githubusercontent.com/webdevserv/images_video/main/cowlandscape.jpg"

   st.subheader("Square an image demo")
   img_description = st.text('Image will be squared with color filler where applicable.')

   if st.button('Square and Fill Demo'):  
    response = requests.get(url)
    img = Image.open(BytesIO(response.content))
    img.load()

    generated_img = fill_square_cropper(img)
    st.image(generated_img)

    response = requests.get(url2)
    img = Image.open(BytesIO(response.content))
    img.load()

    generated_img = fill_square_cropper(img)
    st.image(generated_img)
   
with tab2:
  st.subheader("Square an image app")
  img_description = st.text('Image will be squared with color filler where applicable. Suitable for instagram posts.')
  uploaded_file = st.file_uploader("Upload a JPG image to square and fill with color.", type=['jpg'])

  if uploaded_file is not None: 
   img = Image.open(uploaded_file)
   img.load()
   generated_img = fill_square_cropper(img)
   st.image(generated_img)
   st.balloons()
   st.markdown("""<div style="margin: 0.75em 0;"><a href="https://www.buymeacoffee.com/Artgen" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a></div>
   <div style="margin: 0.75em 0;">But what would really help me is a <strong>PRO subscription</strong> to Google Colab, Kaggle or Hugging Face. Many thanks.</div>""", unsafe_allow_html=True)