h-siyuan commited on
Commit
bf8b502
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verified ·
1 Parent(s): aeda90f

Update app.py

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Files changed (1) hide show
  1. app.py +10 -10
app.py CHANGED
@@ -19,16 +19,6 @@ _SYSTEM = "Based on the screenshot of the page, I give a text description and yo
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  MIN_PIXELS = 256 * 28 * 28
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  MAX_PIXELS = 1344 * 28 * 28
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- # Load the model
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- model = Qwen2VLForConditionalGeneration.from_pretrained(
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- "./showui-2b",
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- torch_dtype=torch.bfloat16,
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- device_map="auto",
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- )
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-
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- # Load the processor
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- processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", min_pixels=MIN_PIXELS, max_pixels=MAX_PIXELS)
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-
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  # Specify the model repository and destination folder
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  model_repo = "showlab/ShowUI-2B"
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  destination_folder = "./showui-2b"
@@ -43,6 +33,16 @@ files = list_repo_files(repo_id=model_repo)
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  for file in files:
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  file_path = hf_hub_download(repo_id=model_repo, filename=file, local_dir=destination_folder)
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  print(f"Downloaded {file} to {file_path}")
 
 
 
 
 
 
 
 
 
 
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  # Helper functions
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  def draw_point(image_input, point=None, radius=5):
 
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  MIN_PIXELS = 256 * 28 * 28
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  MAX_PIXELS = 1344 * 28 * 28
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  # Specify the model repository and destination folder
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  model_repo = "showlab/ShowUI-2B"
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  destination_folder = "./showui-2b"
 
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  for file in files:
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  file_path = hf_hub_download(repo_id=model_repo, filename=file, local_dir=destination_folder)
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  print(f"Downloaded {file} to {file_path}")
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+
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+ # Load the model
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+ model = Qwen2VLForConditionalGeneration.from_pretrained(
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+ "./showui-2b",
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto",
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+ )
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+
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+ # Load the processor
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+ processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", min_pixels=MIN_PIXELS, max_pixels=MAX_PIXELS)
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  # Helper functions
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  def draw_point(image_input, point=None, radius=5):