Update app.py

app.py

@@ -70,7 +70,7 @@ def gen_pred(img=inputs, model=seg_model):
     pred = np.squeeze(pred, axis=0)
     # color_coverted = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
     # pil_image = Image.fromarray(color_coverted)
-    return "pil_image"
+    return pred
 
 
 title = "<h1 style='text-align: center;'>Semantic Segmentation</h1>"
@@ -79,7 +79,7 @@ description = "Upload an image and get prediction mask"
 
 gr.Interface(fn=gen_pred, 
              inputs=inputs, 
-             outputs="text", 
+             outputs="image", 
              title=title, 
              examples=[["003e2c95d.jpg"], ["003b50a15.jpg"], ["003b48a9e.jpg"], ["0038cbe45.jpg"], ["00371aa92.jpg"]],
              # css=css_code,