27 lines
857 B
Python
27 lines
857 B
Python
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
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from PIL import Image
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import requests
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import gradio as gr
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processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-handwritten')
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model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')
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def ocr(image):
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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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demo = gr.Interface(fn=ocr,
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inputs='image',
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outputs='text',
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title = "ocr",
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examples = ['handwritten.jpeg'])
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if __name__ == "__main__":
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demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0", server_port = 7010)
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