Update app.py

app.py

@@ -196,35 +196,6 @@ def make3d(images):
         # get triplane
         planes = model.forward_planes(images, input_cameras)
 
-        # # get video
-        # chunk_size = 20 if IS_FLEXICUBES else 1
-        # render_size = 384
-        
-        # frames = []
-        # for i in tqdm(range(0, render_cameras.shape[1], chunk_size)):
-        #     if IS_FLEXICUBES:
-        #         frame = model.forward_geometry(
-        #             planes,
-        #             render_cameras[:, i:i+chunk_size],
-        #             render_size=render_size,
-        #         )['img']
-        #     else:
-        #         frame = model.synthesizer(
-        #             planes,
-        #             cameras=render_cameras[:, i:i+chunk_size],
-        #             render_size=render_size,
-        #         )['images_rgb']
-        #     frames.append(frame)
-        # frames = torch.cat(frames, dim=1)
-
-        # images_to_video(
-        #     frames[0],
-        #     video_fpath,
-        #     fps=30,
-        # )
-
-        # print(f"Video saved to {video_fpath}")
-
         # get mesh
         mesh_out = model.extract_mesh(
             planes,
@@ -245,10 +216,13 @@ def make3d(images):
 
 _HEADER_ = """
 ## Step 1: Generate the 3D Mesh
-For this step, we use <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>InstantMesh</a>, an open-source model for **fast** feedforward 3D mesh generation from a single image.
-During this step, you need to upload an image of what you want to generate a 3D Model from.
+- For this step, we use <a href='https://github.com/TencentARC/InstantMesh' target='_blank'>InstantMesh</a>, an open-source model for **fast** feedforward 3D mesh generation from a single image.
+
+- You need to upload an image of what you want to generate a 3D Model from.
+
 ## 💡 Tips
--  If there's a background, ✅ Remove background.
+
+-  If there's a background in your image -> ✅ Remove background.
 - The 3D mesh generation results highly depend on the quality of generated multi-view images. Please try a different **seed value** if the result is unsatisfying (Default: 42).
 """
 
@@ -292,17 +266,6 @@ with gr.Blocks() as demo:
             with gr.Row():
                 submit = gr.Button("Generate", elem_id="generate", variant="primary")
 
-            with gr.Row(variant="panel"):
-                gr.Examples(
-                    examples=[
-                        os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
-                    ],
-                    inputs=[input_image],
-                    label="Examples",
-                    cache_examples=False,
-                    examples_per_page=16
-                )
-
         with gr.Column():
 
             with gr.Row():
@@ -315,14 +278,6 @@ with gr.Blocks() as demo:
                         interactive=False
                     )
 
-                # with gr.Column():
-                #     output_video = gr.Video(
-                #         label="video", format="mp4",
-                #         width=379,
-                #         autoplay=True,
-                #         interactive=False
-                #     )
-
             with gr.Row():
                 with gr.Tab("OBJ"):
                     output_model_obj = gr.Model3D(