Update app.py

app.py

@@ -95,7 +95,7 @@ def draw_plot(pred_img, seg):
     return fig
 
 
-def sepia(input_img):
+def sepia(input_img, title):
     input_img = Image.fromarray(input_img)
 
     inputs = feature_extractor(images=input_img, return_tensors="tf")
@@ -108,24 +108,27 @@ def sepia(input_img):
     )  # We reverse the shape of `image` because `image.size` returns width and height.
     seg = tf.math.argmax(logits, axis=-1)[0]
 
-    color_seg = np.zeros(
-        (seg.shape[0], seg.shape[1], 3), dtype=np.uint8
-    )  # height, width, 3
-    for label, color in enumerate(colormap):
-        color_seg[seg.numpy() == label, :] = color
+    unique_labels = np.unique(seg.numpy())
+    label_images = {}
 
-    # Show image + mask
-    pred_img = np.array(input_img) * 0.5 + color_seg * 0.5
-    pred_img = pred_img.astype(np.uint8)
+    for label in unique_labels:
+        mask = (seg.numpy() == label)
+        color_mask = np.zeros((seg.shape[0], seg.shape[1], 3), dtype=np.uint8)
+        color_mask[mask, :] = colormap[label]
+        pred_img = np.array(input_img) * 0.5 + color_mask * 0.5
+        pred_img = pred_img.astype(np.uint8)
+        fig = draw_plot(pred_img, seg)
+        label_images[str(label)] = fig
 
-    fig = draw_plot(pred_img, seg)
-    return fig
+    # Add title to the figure
+    plt.suptitle(title, fontsize=20)
+
+    return label_images
 
 demo = gr.Interface(fn=sepia,
-                    inputs=gr.Image(shape=(400, 600)),
-                    outputs=['plot'],
-                    examples=[["side-1.jpg","Image-1"], ["side-2.jpg","Image-2"], ["side-3.jpg","Image-3"], ["side-4.jpg","Image-4"], ["side-5.jpg","Image-5"], ["side-6.jpg","Image-6"]],
+                    inputs=[gr.Image(shape=(400, 600), label="Input Image"), "text"],
+                    outputs='image',
+                    examples=[["side-1.jpg", "Title 1"], ["side-2.jpg", "Title 2"], ["side-3.jpg", "Title 3"]],
                     allow_flagging='never')
 
-
 demo.launch()