Update python.py

python.py

@@ -45,25 +45,25 @@ def main():
         """
         <style>
         body {
-            background-color: #F5E1DA;
+            background-color: #F2D1B3;  /* Soft nude beige */
         }
         .stTitle {
-            color: #5E3C1E;
+            color: #5F3B26;  /* Warm brown */
             text-align: center;
             font-family: 'Arial', sans-serif;
         }
         .stButton>button {
-            background-color: #C19A6B;
+            background-color: #D1A39A;  /* Muted pinkish nude */
             color: white;
             border-radius: 8px;
         }
         .stDownloadButton>button {
-            background-color: #8B5E3C;
+            background-color: #A87C61;  /* Warm sand color */
             color: white;
             border-radius: 8px;
         }
         .stSlider {
-            color: #5E3C1E;
+            color: #5F3B26;  /* Warm brown */
         }
         </style>
         """,
@@ -91,7 +91,7 @@ def main():
     uploaded_file = st.file_uploader("📤 Upload an Image", type=['jpg', 'jpeg', 'png'])
     if uploaded_file:
         image = Image.open(uploaded_file)
-        st.image(image, caption="Original Image", use_column_width=True)
+        st.image(image, caption="Original Image", use_container_width=True)
         
         st.subheader("🎛️ Transformation Controls")
 
@@ -102,32 +102,39 @@ def main():
         )
         
         # --- Default Transformations ---
+        transformed_image = image.copy()  # Keep a copy for showing all intermediate transformations
+
         if transformation_mode == "All Transformations":
             st.write("### 🌟 Adjust All Transformations")
 
             # Translation
             x_offset = st.slider("X Offset", -100, 100, 0)
             y_offset = st.slider("Y Offset", -100, 100, 0)
-            image = translate_image(image, x_offset, y_offset)
+            translated_image = translate_image(transformed_image, x_offset, y_offset)
+            st.image(translated_image, caption="After Translation", use_container_width=True)
 
             # Rotation
             angle = st.slider("Rotation Angle", 0, 360, 0)
-            image = rotate_image(image, angle)
+            rotated_image = rotate_image(transformed_image, angle)
+            st.image(rotated_image, caption="After Rotation", use_container_width=True)
 
             # Scaling
             scale = st.slider("Scale Factor", 0.5, 2.0, 1.0)
-            image = scale_image(image, scale)
+            scaled_image = scale_image(transformed_image, scale)
+            st.image(scaled_image, caption="After Scaling", use_container_width=True)
 
             # Cropping
             left = st.slider("Crop Left", 0, image.width, 0)
             upper = st.slider("Crop Upper", 0, image.height, 0)
             right = st.slider("Crop Right", left, image.width, image.width)
             lower = st.slider("Crop Lower", upper, image.height, image.height)
-            image = crop_image(image, left, upper, right, lower)
+            cropped_image = crop_image(transformed_image, left, upper, right, lower)
+            st.image(cropped_image, caption="After Cropping", use_container_width=True)
 
             # Flipping
             flip_type = st.selectbox("Flip Image", ["None", "Horizontal", "Vertical"])
-            image = flip_image(image, flip_type)
+            flipped_image = flip_image(transformed_image, flip_type)
+            st.image(flipped_image, caption="After Flipping", use_container_width=True)
 
         # --- Specific Transformation ---
         elif transformation_mode == "Specific Transformation":
@@ -160,8 +167,8 @@ def main():
                 flip_type = st.selectbox("Flip Type", ["None", "Horizontal", "Vertical"])
                 image = flip_image(image, flip_type)
 
-        # --- Display Transformed Image ---
-        st.image(image, caption="Transformed Image", use_column_width=True)
+        # --- Display Final Transformed Image ---
+        st.image(image, caption="Transformed Image", use_container_width=True)
 
         # --- Download Transformed Image ---
         img_buffer = io.BytesIO()