Update app.py

app.py

@@ -191,9 +191,10 @@ def mask_rembg(input_img):
 def process_image(input_img):
 
     rotated = False
-    # if input_img.shape[0] > input_img.shape[1]:
-    #     input_img = cv2.rotate(input_img, cv2.ROTATE_90_COUNTERCLOCKWISE)
-    #     rotated = True
+    if input_img.shape[0] > input_img.shape[1]:
+         input_img = cv2.rotate(input_img, cv2.ROTATE_90_COUNTERCLOCKWISE)
+         rotated = True
+        
     input_img = cv2.resize(input_img, (640, 480))
     mask, rgb = mask_rembg(input_img)
     depth_dict = depth_moge(input_img)
@@ -205,6 +206,14 @@ def process_image(input_img):
     # print(input_glb)
     return input_glb, inference_glb
 
+gr.Markdown("""
+## Image to 3D in cluttered scene with [RaySt3R](https://rayst3r.github.io/)
+* Upload an image and click submit. 
+* We mask the input using [Rembg](https://github.com/danielgatis/rembg) and generate depth with [MoGe](https://github.com/microsoft/MoGe).
+* The input point cloud will be visible in 'input', the output is visible in the "RaySt3R" section.
+
+[Project Website](https://rayst3r.github.io/)
+""")
 demo = gr.Interface(
     process_image,
     gr.Image(),