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app.py

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+import neural_style
+
+import streamlit as st
+import numpy as np
+import cv2
+from  PIL import Image, ImageEnhance
+
+#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)
+    
+#Add a header and expander in side bar
+st.sidebar.markdown('<p class="font">Afrodreams.AI</p>', unsafe_allow_html=True)
+with st.sidebar.expander("About the App"):
+     st.write("""
+        This app takes in your image and styles it with a unique african art.""")
+
+#Add file uploader to allow users to upload photos
+uploaded_file = st.file_uploader("", type=['jpg','png','jpeg'])
+
+#Add 'before' and 'after' columns
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    
+    col1, col2 = st.columns( [0.5, 0.5])
+    with col1:
+        st.markdown('<p style="text-align: center;">Before</p>',unsafe_allow_html=True)
+        st.image(image,width=300)  
+
+    with col2:
+        st.markdown('<p style="text-align: center;">After</p>',unsafe_allow_html=True)
+        
+    # add a button
+    run = st.button('Generate Art')
+    if run==True:
+        params = neural_style.TransferParams()
+        params.gpu = "c"
+        params.backend = "mkl"
+        params.image_size = 128
+        params.content_image = uploaded_file
+        neural_style.transfer(params)
+
+        #display image when done.
+        with col2:
+            result = Image.open('out.png')
+            st.image(result, width=300)
+            run =st.download_button(label="Download Image", data=result.tobytes(), file_name='afrodreams.png')
+
+
+
+#img = neural_style.transfer(params)
+