Update app.py

app.py

@@ -270,7 +270,7 @@ def segment_image(image):
 
     return image, legend, stats, superimposed_image
 
-def superimpose_images(image1, image2, alpha=0.5):
+def superimpose_images(image1, image2, alpha=0.8):
 
     if image1.dtype != np.uint8:
             image1 = (image1 * 255).astype(np.uint8) if image1.max() <= 1 else image1.astype(np.uint8)
@@ -295,12 +295,25 @@ examples = [
     ["sample1.png"],
     ["sample2.png"]
 ]
+
+with gr.Row():
+        # First column: Input and first output
+        with gr.Column():
+            input_image = gr.Image(label="Input Image")  # Input image
+            output1 = gr.Image(label="Output 1")  # First output
+        
+        # Second column: Remaining three outputs
+        with gr.Column():
+            output2 = gr.Image(label="Output 2")  # Second output
+            output3 = gr.Image(label="Output 3")  # Third output
+            output4 = gr.Image(label="Output 4")  # Fourth output
+
     
 demo = gr.Interface(
     segment_image,
     inputs=gr.Image(),
-    examples=examples,
-    outputs=["image", "image", "image", "image"],
+    examples=input_image,
+    outputs=[output1, output2, output3, output4],
     title="Breast Cancer Semantic Segmentation"
 )