Update app.py

app.py

@@ -98,196 +98,6 @@ def preprocess(input_image, do_remove_background, foreground_ratio):
     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.export(mesh_path_obj.name)
-    
-    return mesh_path_obj.name, mesh_path_glb.name
-
-def run_example(image_pil):
-    preprocessed = preprocess(image_pil, False, 0.9)
-    mesh_name_obj, mesh_name_glb = generate(preprocessed, 256, ["obj", "glb"])
-    return preprocessed, mesh_name_obj, mesh_name_glb
-
-with gr.Blocks() as demo:
-    gr.Markdown(HEADER)
-    with gr.Row(variant="panel"):
-        with gr.Column():
-            with gr.Row():
-                input_image = gr.Image(
-                    label="Input Image",
-                    image_mode="RGBA",
-                    sources="upload",
-                    type="pil",
-                    elem_id="content_image",
-                )
-                processed_image = gr.Image(label="Processed Image", interactive=False)
-            with gr.Row():
-                with gr.Group():
-                    do_remove_background = gr.Checkbox(
-                        label="Remove Background", value=True
-                    )
-                    foreground_ratio = gr.Slider(
-                        label="Foreground Ratio",
-                        minimum=0.5,
-                        maximum=1.0,
-                        value=0.85,
-                        step=0.05,
-                    )
-                    mc_resolution = gr.Slider(
-                        label="Marching Cubes Resolution",
-                        minimum=32,
-                        maximum=320,
-                        value=256,
-                        step=32
-                     )
-            with gr.Row():
-                submit = gr.Button("Generate", elem_id="generate", variant="primary")
-        with gr.Column():
-            with gr.Tab("OBJ"):
-                output_model_obj = gr.Model3D(
-                    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
-        )
-    submit.click(fn=check_input_image, inputs=[input_image]).success(
-        fn=preprocess,
-        inputs=[input_image, do_remove_background, foreground_ratio],
-        outputs=[processed_image],
-    ).success(
-        fn=generate,
-        inputs=[processed_image, mc_resolution],
-        outputs=[output_model_obj, output_model_glb],
-    )
-
-demo.queue(max_size=10)
-demo.launch(import logging
-import os
-import shlex
-import subprocess
-import tempfile
-import time
-
-import gradio as gr
-import numpy as np
-import rembg
-import spaces
-import torch
-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
-
-
-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://www.tripo3d.ai/logo.png" width="170" 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>
-
-**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.
-"""
-
-
-if torch.cuda.is_available():
-    device = "cuda:0"
-else:
-    device = "cpu"
-
-model = TSR.from_pretrained(
-    "stabilityai/TripoSR",
-    config_name="config.yaml",
-    weight_name="model.ckpt",
-)
-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)
-        image = resize_foreground(image, foreground_ratio)
-        image = fill_background(image)
-    else:
-        image = input_image
-        if image.mode == "RGBA":
-            image = fill_background(image)
-    return image
-
-
 @spaces.GPU
 def generate(image, mc_resolution, formats=["obj", "glb"]):
     scene_codes = model(image, device=device)