multimodalart HF staff commited on
Commit
a3d2317
β€’
1 Parent(s): bf4a508

Update app.py

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Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -4,7 +4,6 @@ from glob import glob
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  from pathlib import Path
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  from typing import Optional
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-
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  import cv2
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  import numpy as np
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  import torch
@@ -19,6 +18,9 @@ from sgm.inference.helpers import embed_watermark
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  from sgm.util import default, instantiate_from_config
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  from huggingface_hub import hf_hub_download
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  from simple_video_sample import sample
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  num_frames = 25
@@ -91,9 +93,6 @@ def get_batch(keys, value_dict, N, T, device):
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  batch_uc[key] = torch.clone(batch[key])
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  return batch, batch_uc
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-
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- import gradio as gr
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- import uuid
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  def resize_image(image_path, output_size=(1024, 576)):
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  with Image.open(image_path) as image:
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  # Calculate aspect ratios
 
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  from pathlib import Path
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  from typing import Optional
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  import cv2
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  import numpy as np
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  import torch
 
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  from sgm.util import default, instantiate_from_config
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  from huggingface_hub import hf_hub_download
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+ import gradio as gr
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+ import uuid
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+
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  from simple_video_sample import sample
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  num_frames = 25
 
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  batch_uc[key] = torch.clone(batch[key])
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  return batch, batch_uc
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  def resize_image(image_path, output_size=(1024, 576)):
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  with Image.open(image_path) as image:
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  # Calculate aspect ratios