maybe problem by importing gradio twice

app.py

@@ -3,11 +3,101 @@
 from __future__ import annotations
 
 import os
+import datetime
+import pathlib
+import shlex
+import subprocess
+import sys
+from typing import Generator, Optional
 
+import trimesh
 import spaces
 import gradio as gr
 
-from model import Model
+# from model import Model
+
+sys.path.append('TEXTurePaper')
+
+from src.configs.train_config import GuideConfig, LogConfig, TrainConfig
+from src.training.trainer import TEXTure
+
+
+class Model:
+    def __init__(self):
+        self.max_num_faces = 100000
+
+    def load_config(self, shape_path: str, text: str, seed: int,
+                    guidance_scale: float) -> TrainConfig:
+        text += ', {} view'
+
+        log = LogConfig(exp_name=self.gen_exp_name())
+        guide = GuideConfig(text=text)
+        guide.background_img = 'TEXTurePaper/textures/brick_wall.png'
+        guide.shape_path = 'TEXTurePaper/shapes/spot_triangulated.obj'
+        config = TrainConfig(log=log, guide=guide)
+
+        config.guide.shape_path = shape_path
+        config.optim.seed = seed
+        config.guide.guidance_scale = guidance_scale
+        return config
+
+    def gen_exp_name(self) -> str:
+        now = datetime.datetime.now()
+        return now.strftime('%Y-%m-%d-%H-%M-%S')
+
+    def check_num_faces(self, path: str) -> bool:
+        with open(path) as f:
+            lines = [line for line in f.readlines() if line.startswith('f')]
+        return len(lines) <= self.max_num_faces
+
+    def zip_results(self, exp_dir: pathlib.Path) -> str:
+        mesh_dir = exp_dir / 'mesh'
+        out_path = f'{exp_dir.name}.zip'
+        subprocess.run(shlex.split(f'zip -r {out_path} {mesh_dir}'))
+        return out_path
+
+    def run(
+        self, shape_path: str, text: str, seed: int, guidance_scale: float
+    ) -> Generator[tuple[list[str], Optional[str], Optional[str], str], None,
+                   None]:
+        if not shape_path.endswith('.obj'):
+            raise gr.Error('The input file is not .obj file.')
+        if not self.check_num_faces(shape_path):
+            raise gr.Error('The number of faces is over 100,000.')
+
+        config = self.load_config(shape_path, text, seed, guidance_scale)
+        trainer = TEXTure(config)
+
+        trainer.mesh_model.train()
+
+        total_steps = len(trainer.dataloaders['train'])
+        for step, data in enumerate(trainer.dataloaders['train'], start=1):
+            trainer.paint_step += 1
+            trainer.paint_viewpoint(data)
+            trainer.evaluate(trainer.dataloaders['val'],
+                             trainer.eval_renders_path)
+            trainer.mesh_model.train()
+
+            sample_image_dir = config.log.exp_dir / 'vis' / 'eval'
+            sample_image_paths = sorted(
+                sample_image_dir.glob(f'step_{trainer.paint_step:05d}_*.jpg'))
+            sample_image_paths = [
+                path.as_posix() for path in sample_image_paths
+            ]
+            yield sample_image_paths, None, None, f'{step}/{total_steps}'
+
+        trainer.mesh_model.change_default_to_median()
+
+        save_dir = trainer.exp_path / 'mesh'
+        save_dir.mkdir(exist_ok=True, parents=True)
+        trainer.mesh_model.export_mesh(save_dir)
+        model_path = save_dir / 'mesh.obj'
+        mesh = trimesh.load(model_path)
+        mesh_path = save_dir / 'mesh.glb'
+        mesh.export(mesh_path, file_type='glb')
+
+        zip_path = self.zip_results(config.log.exp_dir)
+        yield sample_image_paths, mesh_path.as_posix(), zip_path, 'Done!'
 
 
 @spaces.GPU