Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from io import BytesIO
 from PIL import Image
-# from utils import convert_to_bw, load_colorization_model, colorize_bw_image
+from utils import convert_to_bw, load_colorization_model, colorize_bw_image
 import os
 os.environ["STREAMLIT_SERVER_HEADLESS"] = "true"
 
@@ -13,40 +13,40 @@ uploaded_file = st.sidebar.file_uploader("Upload an image", type=["jpg", "jpeg",
 
 
 
-# if uploaded_file:
-#     # Open and convert the uploaded image to RGB format
-#     image = Image.open(uploaded_file).convert("RGB")
+if uploaded_file:
+    # Open and convert the uploaded image to RGB format
+    image = Image.open(uploaded_file).convert("RGB")
 
-#     option = st.sidebar.selectbox("Choose an action", ("Convert to Black & White", "Colorize Black & White"))
+    option = st.sidebar.selectbox("Choose an action", ("Convert to Black & White", "Colorize Black & White"))
 
-#     if st.sidebar.button("Process"):
-#         #Convert the uploaded image to black and white
-#         if option == "Convert to Black & White":
-#             result_img = convert_to_bw(image)
-#         #Colorize a black and white image using a pre-trained model
-#         elif option == "Colorize Black & White":
-#             with st.spinner("Colorizing..."):
-#                 net = load_colorization_model()
-#                 result_img = colorize_bw_image(image, net)
+    if st.sidebar.button("Process"):
+        #Convert the uploaded image to black and white
+        if option == "Convert to Black & White":
+            result_img = convert_to_bw(image)
+        #Colorize a black and white image using a pre-trained model
+        elif option == "Colorize Black & White":
+            with st.spinner("Colorizing..."):
+                net = load_colorization_model()
+                result_img = colorize_bw_image(image, net)
             
 
-#         # Display both images in columns
-#         col1, col2 = st.columns(2)
-#         with col1:
-#             st.image(image, caption="Original Image", use_container_width=True)
-#         with col2:
-#             st.image(result_img, caption="Processed Image", use_container_width=True)
+        # Display both images in columns
+        col1, col2 = st.columns(2)
+        with col1:
+            st.image(image, caption="Original Image", use_container_width=True)
+        with col2:
+            st.image(result_img, caption="Processed Image", use_container_width=True)
             
             
-#         # Create a buffer to store image bytes
-#         buffer = BytesIO()
-#         result_img.save(buffer, format="JPEG")  
-#         buffer.seek(0)  # Reset cursor to the beginning
+        # Create a buffer to store image bytes
+        buffer = BytesIO()
+        result_img.save(buffer, format="JPEG")  
+        buffer.seek(0)  # Reset cursor to the beginning
         
-#         #Download Image in Jpeg
-#         st.download_button(
-#             label="Download Output Image",
-#             data=buffer ,#result_img.tobytes()
-#             file_name="output.jpeg",
-#             mime="image/jpeg"
-#         )
+        #Download Image in Jpeg
+        st.download_button(
+            label="Download Output Image",
+            data=buffer ,#result_img.tobytes()
+            file_name="output.jpeg",
+            mime="image/jpeg"
+        )