Update app.py

app.py

@@ -4,93 +4,40 @@ import shlex
 import subprocess
 import tempfile
 import time
-
-import gradio as gr
+import sys
+import types
+import torch
 import numpy as np
 import rembg
 import spaces
-import torch
+import gradio as gr
 from PIL import Image
 from functools import partial
-    
-subprocess.run(shlex.split('pip install wheel/torchmcubes-0.1.0-cp310-cp310-linux_x86_64.whl'))
-
-from tsr.system import TSR
-from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
-
-from torchmcubes import marching_cubes
-import sys
-import types
-import torch
 
-# 1. try import mcubes
+# --- PARCHE DE CPU (DEBE IR ANTES DE IMPORTAR TSR) ---
 try:
     import mcubes
+    mock_torchmcubes = types.ModuleType("torchmcubes")
+    def marching_cubes_cpu(vertices, threshold):
+        v, f = mcubes.marching_cubes(vertices.detach().cpu().numpy(), threshold)
+        return torch.from_numpy(v.astype("float32")), torch.from_numpy(f.astype("int64"))
+    mock_torchmcubes.marching_cubes = marching_cubes_cpu
+    sys.modules["torchmcubes"] = mock_torchmcubes
 except ImportError:
     print("Error: PyMCubes no está en requirements.txt")
 
-# 2.parched mock
-# false library for run
-mock_torchmcubes = types.ModuleType("torchmcubes")
-
-def marching_cubes_cpu(vertices, threshold):
-    # turning torch to numpy
-    v, f = mcubes.marching_cubes(vertices.detach().cpu().numpy(), threshold)
-    return torch.from_numpy(v.astype("float32")), torch.from_numpy(f.astype("int64"))
-
-# send to function the false library
-mock_torchmcubes.marching_cubes = marching_cubes_cpu
-# register for TRIPOSD found the false module
-sys.modules["torchmcubes"] = mock_torchmcubes
-
-
-
-
-
-HEADER = """
-# TripoSR Demo
-<table bgcolor="#1E2432" cellspacing="0" cellpadding="0"  width="450">
-<tr style="height:50px;">
-<td style="text-align: center;">
-<a href="https://stability.ai">
-<img src="https://images.squarespace-cdn.com/content/v1/6213c340453c3f502425776e/6c9c4c25-5410-4547-bc26-dc621cdacb25/Stability+AI+logo.png" width="200" height="40" />
-</a>
-</td>
-<td style="text-align: center;">
-<a href="https://www.tripo3d.ai">
-<img src="https://tripo-public.cdn.bcebos.com/logo.png" width="40" height="40" />
-</a>
-</td>
-</tr>
-</table>
-<table bgcolor="#1E2432" cellspacing="0" cellpadding="0"  width="450">
-<tr style="height:30px;">
-<td style="text-align: center;">
-<a href="https://huggingface.co/stabilityai/TripoSR"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model_Card-Huggingface-orange" height="20"></a>
-</td>
-<td style="text-align: center;">
-<a href="https://github.com/VAST-AI-Research/TripoSR"><img src="https://postimage.me/images/2024/03/04/GitHub_Logo_White.png" width="100" height="20"></a>
-</td>
-<td style="text-align: center; color: white;">
-<a href="https://arxiv.org/abs/2403.02151"><img src="https://img.shields.io/badge/arXiv-2403.02151-b31b1b.svg" height="20"></a>
-</td>
-</tr>
-</table>
+# --- IMPORTS DE TSR ---
+from tsr.system import TSR
+from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
 
+HEADER = """# TripoSR Demo
+<table bgcolor="#1E2432" cellspacing="0" cellpadding="0"  width="450"><tr style="height:50px;"><td style="text-align: center;"><a href="https://stability.ai"><img src="https://images.squarespace-cdn.com/content/v1/6213c340453c3f502425776e/6c9c4c25-5410-4547-bc26-dc621cdacb25/Stability+AI+logo.png" width="200" height="40" /></a></td><td style="text-align: center;"><a href="https://www.tripo3d.ai"><img src="https://tripo-public.cdn.bcebos.com/logo.png" width="40" height="40" /></a></td></tr></table>
+<table bgcolor="#1E2432" cellspacing="0" cellpadding="0"  width="450"><tr style="height:30px;"><td style="text-align: center;"><a href="https://huggingface.co/stabilityai/TripoSR"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model_Card-Huggingface-orange" height="20"></a></td><td style="text-align: center;"><a href="https://github.com/VAST-AI-Research/TripoSR"><img src="https://postimage.me/images/2024/03/04/GitHub_Logo_White.png" width="100" height="20"></a></td><td style="text-align: center; color: white;"><a href="https://arxiv.org/abs/2403.02151"><img src="https://img.shields.io/badge/arXiv-2403.02151-b31b1b.svg" height="20"></a></td></tr></table>
 > Try our new model: **SF3D** with several improvements such as faster generation and more game-ready assets.
-> 
-> The model is available [here](https://huggingface.co/stabilityai/stable-fast-3d) and we also have a [demo](https://huggingface.co/spaces/stabilityai/stable-fast-3d).
- 
-
-**TripoSR** is a state-of-the-art open-source model for **fast** feedforward 3D reconstruction from a single image, developed in collaboration between [Tripo AI](https://www.tripo3d.ai/) and [Stability AI](https://stability.ai/).
-
-**Tips:**
-1. If you find the result is unsatisfied, please try to change the foreground ratio. It might improve the results.
-2. It's better to disable "Remove Background" for the provided examples since they have been already preprocessed.
-3. Otherwise, please disable "Remove Background" option only if your input image is RGBA with transparent background, image contents are centered and occupy more than 70% of image width or height.
+> The model is available [here](https://huggingface.co/stabilityai/stable-fast-3d) and we also have a [demo](https://huggingface.co/spaces/stabilityai/stable-fast-3d). 
+**TripoSR** is a state-of-the-art open-source model for **fast** feedforward 3D reconstruction from a single image.
 """
 
-
 if torch.cuda.is_available():
     device = "cuda:0"
 else:
@@ -103,22 +50,18 @@ model = TSR.from_pretrained(
 )
 model.renderer.set_chunk_size(131072)
 model.to(device)
-
 rembg_session = rembg.new_session()
 
-
 def check_input_image(input_image):
     if input_image is None:
         raise gr.Error("No image uploaded!")
 
-
 def preprocess(input_image, do_remove_background, foreground_ratio):
     def fill_background(image):
         image = np.array(image).astype(np.float32) / 255.0
         image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5
         image = Image.fromarray((image * 255.0).astype(np.uint8))
         return image
-
     if do_remove_background:
         image = input_image.convert("RGB")
         image = remove_background(image, rembg_session)
@@ -130,20 +73,16 @@ def preprocess(input_image, do_remove_background, foreground_ratio):
             image = fill_background(image)
     return image
 
-
 @spaces.GPU
 def generate(image, mc_resolution, formats=["obj", "glb"]):
     scene_codes = model(image, device=device)
     mesh = model.extract_mesh(scene_codes, resolution=mc_resolution)[0]
     mesh = to_gradio_3d_orientation(mesh)
-
     mesh_path_glb = tempfile.NamedTemporaryFile(suffix=f".glb", delete=False)
     mesh.export(mesh_path_glb.name)
-
     mesh_path_obj = tempfile.NamedTemporaryFile(suffix=f".obj", delete=False)
-    mesh.apply_scale([-1, 1, 1])  # Otherwise the visualized .obj will be flipped
+    mesh.apply_scale([-1, 1, 1])
     mesh.export(mesh_path_obj.name)
-    
     return mesh_path_obj.name, mesh_path_glb.name
 
 def run_example(image_pil):
@@ -181,8 +120,8 @@ with gr.Blocks() as demo:
                         minimum=32,
                         maximum=320,
                         value=256,
-                        step=32
-                     )
+                        step=32 
+                    )
             with gr.Row():
                 submit = gr.Button("Generate", elem_id="generate", variant="primary")
         with gr.Column():
@@ -191,25 +130,26 @@ with gr.Blocks() as demo:
                     label="Output Model (OBJ Format)",
                     interactive=False,
                 )
-                gr.Markdown("Note: Downloaded object will be flipped in case of .obj export. Export .glb instead or manually flip it before usage.")
             with gr.Tab("GLB"):
                 output_model_glb = gr.Model3D(
                     label="Output Model (GLB Format)",
                     interactive=False,
                 )
-                gr.Markdown("Note: The model shown here has a darker appearance. Download to get correct results.")
-    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],
-            outputs=[processed_image, output_model_obj, output_model_glb],
-            cache_examples=True,
-            fn=partial(run_example),
-            label="Examples",
-            examples_per_page=20
-        )
+    
+    if os.path.exists("examples"):
+        with gr.Row(variant="panel"):
+            gr.Examples(
+                examples=[
+                    os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
+                ] if os.path.exists("examples") else [],
+                inputs=[input_image],
+                outputs=[processed_image, output_model_obj, output_model_glb],
+                cache_examples=False,
+                fn=partial(run_example),
+                label="Examples",
+                examples_per_page=20
+            )
+
     submit.click(fn=check_input_image, inputs=[input_image]).success(
         fn=preprocess,
         inputs=[input_image, do_remove_background, foreground_ratio],
@@ -221,4 +161,4 @@ with gr.Blocks() as demo:
     )
 
 demo.queue(max_size=10)
-demo.launch()
+demo.launch()