Update app.py

app.py

@@ -28,6 +28,9 @@ if not os.path.exists(REPO_PATH):
         print(f"Error cloning repository: {e.stderr.decode()}")
         sys.exit(1)
 
+# Add the cloned repository to the Python path to allow imports
+sys.path.insert(0, os.path.abspath(REPO_PATH))
+
 # Now that the repo is in the path, we can import its modules
 from huggingface_hub import snapshot_download
 from longcat_video.pipeline_longcat_video import LongCatVideoPipeline
@@ -35,12 +38,8 @@ from longcat_video.modules.scheduling_flow_match_euler_discrete import FlowMatch
 from longcat_video.modules.autoencoder_kl_wan import AutoencoderKLWan
 from longcat_video.modules.longcat_video_dit import LongCatVideoTransformer3DModel
 from longcat_video.context_parallel import context_parallel_util
-from transformers import AutoTokenizer, UMT5EncoderModel
 from diffusers.utils import export_to_video
 
-# Add the cloned repository to the Python path to allow imports
-sys.path.insert(0, os.path.abspath(REPO_PATH))
-
 # Download model weights from Hugging Face Hub if they don't exist
 if not os.path.exists(CHECKPOINT_DIR):
     print(f"Downloading model weights to '{CHECKPOINT_DIR}'...")
@@ -56,8 +55,6 @@ if not os.path.exists(CHECKPOINT_DIR):
         print(f"Error downloading model weights: {e}")
         sys.exit(1)
 
-# --- 2. Global Variables & Model Loading (in Global Context) ---
-
 # Global placeholder for the pipeline and device configuration
 pipe = None
 device = "cuda" if torch.cuda.is_available() else "cpu"