Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,50 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+from io import BytesIO
+from PIL import Image
+from utils import convert_to_bw, load_colorization_model, colorize_bw_image
+
+st.set_page_config(page_title="Image Colorizer", layout="centered")
+
+st.title("Convert B&W images to Colored and vice versa")
+
+uploaded_file = st.sidebar.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+
+
+
+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"))
+
+    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)
+            
+            
+        # 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"
+        )