app(orig).py

import streamlit as st
from PIL import Image

# x = st.slider('Select a value')
# st.write(x, 'squared is', x * x)

image = Image.open('demo_image/demo_ballys.jpg') #Brand logo image (optional)
#Create two columns with different width
col1, col2 = st.columns( [0.8, 0.2])
with col1:               # To display the header text using css style
    st.markdown(""" <style> .font {
    font-size:35px ; font-family: 'Cooper Black'; color: #FF9633;}
    </style> """, unsafe_allow_html=True)
    st.markdown('<p class="font">Upload your photo here...</p>', unsafe_allow_html=True)
with col2:               # To display brand logo
    st.image(image,  width=150)

uploaded_file = st.file_uploader("Choose a file", type=["png", "jpg"])
if uploaded_file is not None:
     # To read file as bytes:
     bytes_data = uploaded_file.getvalue()
     pillowImg = Image.open(uploaded_file)
     # print("pillowImg shape: ", )
     st.write(pillowImg.size)

     # # To convert to a string based IO:
     # stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
     # st.write(stringio)
     #
     # # To read file as string:
     # string_data = stringio.read()
     # st.write(string_data)
     #
     # # Can be used wherever a "file-like" object is accepted:
     # dataframe = pd.read_csv(uploaded_file)
     # st.write(dataframe)