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Update app.py
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app.py
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@@ -1,12 +1,12 @@
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import gradio as gr
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from PIL import Image
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from transformers import Pix2StructForConditionalGeneration, Pix2StructProcessor
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model = Pix2StructForConditionalGeneration.from_pretrained("google/pix2struct-docvqa-large")
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processor = Pix2StructProcessor.from_pretrained("google/pix2struct-docvqa-large")
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def process_document(image, question):
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image = Image.open(image)
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inputs = processor(images=image, text=question, return_tensors="pt")
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predictions = model.generate(**inputs)
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return processor.decode(predictions[0], skip_special_tokens=True)
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import gradio as gr
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# from PIL import Image
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from transformers import Pix2StructForConditionalGeneration, Pix2StructProcessor
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model = Pix2StructForConditionalGeneration.from_pretrained("google/pix2struct-docvqa-large")
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processor = Pix2StructProcessor.from_pretrained("google/pix2struct-docvqa-large")
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def process_document(image, question):
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# image = Image.open(image)
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inputs = processor(images=image, text=question, return_tensors="pt")
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predictions = model.generate(**inputs)
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return processor.decode(predictions[0], skip_special_tokens=True)
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