yes

app.py

@@ -6,8 +6,8 @@ from transformers import T5Tokenizer, T5EncoderModel
 from diffusers import DiffusionPipeline
 from safetensors.torch import load_file
 from huggingface_hub import hf_hub_download
-from two_stream_shunt_adapter import TwoStreamShuntAdapter
-from configs import T5_SHUNT_REPOS
+from .app.two_stream_shunt_adapter import TwoStreamShuntAdapter
+from .app.configs import T5_SHUNT_REPOS
 
 # ─── Device & Model Setup ─────────────────────────────────────
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

requirements.txt

@@ -4,4 +4,5 @@ invisible_watermark
 torch
 transformers
 xformers
-matplotlib
+matplotlib
+sentencepiece