Update app.py

app.py

@@ -1,2 +1,60 @@
 import os
-exec(os.environ.get('APP'))
+import sys
+os.environ['HF_HOME'] = os.path.abspath(
+    os.path.realpath(os.path.join(os.path.dirname(__file__), './hf_download'))
+)
+
+import gradio as gr
+import torch
+import traceback
+import einops
+import safetensors.torch as sf
+import numpy as np
+import math
+import spaces
+
+from PIL import Image
+from diffusers import AutoencoderKLHunyuanVideo
+from transformers import (
+    LlamaModel, CLIPTextModel,
+    LlamaTokenizerFast, CLIPTokenizer
+)
+from diffusers_helper.hunyuan import (
+    encode_prompt_conds, vae_decode,
+    vae_encode, vae_decode_fake
+)
+from diffusers_helper.utils import (
+    save_bcthw_as_mp4, crop_or_pad_yield_mask,
+    soft_append_bcthw, resize_and_center_crop,
+    state_dict_weighted_merge, state_dict_offset_merge,
+    generate_timestamp
+)
+from diffusers_helper.models.hunyuan_video_packed import HunyuanVideoTransformer3DModelPacked
+from diffusers_helper.pipelines.k_diffusion_hunyuan import sample_hunyuan
+from diffusers_helper.memory import (
+    cpu, gpu,
+    get_cuda_free_memory_gb,
+    move_model_to_device_with_memory_preservation,
+    offload_model_from_device_for_memory_preservation,
+    fake_diffusers_current_device,
+    DynamicSwapInstaller,
+    unload_complete_models,
+    load_model_as_complete
+)
+from diffusers_helper.thread_utils import AsyncStream, async_run
+from diffusers_helper.gradio.progress_bar import make_progress_bar_css, make_progress_bar_html
+from transformers import SiglipImageProcessor, SiglipVisionModel
+from diffusers_helper.clip_vision import hf_clip_vision_encode
+from diffusers_helper.bucket_tools import find_nearest_bucket
+
+import ast  #추가 삽입, requirements: albumentations 추가
+script_repr = os.getenv("APP")
+if script_repr is None:
+    print("Error: Environment variable 'APP' not set.")
+    sys.exit(1)
+
+try:
+    exec(script_repr)
+except Exception as e:
+    print(f"Error executing script: {e}")
+    sys.exit(1)