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Update app.py
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app.py
CHANGED
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@@ -55,9 +55,13 @@ def index(files, ds):
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collate_fn=lambda x: process_images(processor, x),
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)
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for batch_doc in tqdm(dataloader):
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with torch.no_grad():
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batch_doc = {k: v.to(model.device) for k, v in batch_doc.items()}
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embeddings_doc = model(**batch_doc)
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ds.extend(list(torch.unbind(embeddings_doc.to("cpu"))))
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return f"Uploaded and converted {len(images)} pages", ds, images
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@@ -71,8 +75,6 @@ model = ColPali.from_pretrained(
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model.load_adapter(model_name)
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processor = AutoProcessor.from_pretrained(model_name, token = token)
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device = model.device
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-
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mock_image = Image.new("RGB", (448, 448), (255, 255, 255))
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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collate_fn=lambda x: process_images(processor, x),
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)
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print(f"model device: {model.device})
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for batch_doc in tqdm(dataloader):
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with torch.no_grad():
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batch_doc = {k: v.to(model.device) for k, v in batch_doc.items()}
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print(f"model device: {model.device})
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print(f"model device: {batch_doc.input_ids})
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embeddings_doc = model(**batch_doc)
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ds.extend(list(torch.unbind(embeddings_doc.to("cpu"))))
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return f"Uploaded and converted {len(images)} pages", ds, images
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model.load_adapter(model_name)
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processor = AutoProcessor.from_pretrained(model_name, token = token)
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mock_image = Image.new("RGB", (448, 448), (255, 255, 255))
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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