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AudreyMireille
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Create app.py
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app.py
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import gradio as gr
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from transformers import TrOCRProcessor, VisionEncoderDecoderModel
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from PIL import Image
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import requests
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# Load the TrOCR model and processor
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processor = TrOCRProcessor.from_pretrained('microsoft/trocr-large-printed')
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model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-printed')
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def extract_text_from_image(image_url):
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image = Image.open(requests.get(image_url, stream=True).raw).convert("RGB")
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pixel_values = processor(images=image, return_tensors="pt").pixel_values
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generated_ids = model.generate(pixel_values)
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generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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return generated_text
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# Create the Gradio interface
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gr.Interface(
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fn=extract_text_from_image,
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inputs=gr.Textbox(label="Enter image URL:"),
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outputs=gr.Textbox(label="Extracted Text"),
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title="Text Extraction from Images",
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description="Extract text from an image using optical character recognition (OCR).",
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).launch()
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