File size: 654 Bytes
c3394c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
from transformers import (
TrOCRConfig,
TrOCRProcessor,
TrOCRForCausalLM,
ViTConfig,
ViTModel,
VisionEncoderDecoderModel,
)
import gradio as gr
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
def ocr(image):
pixel_values = processor(image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
return generated_text
demo = gr.Interface(fn=ocr, inputs="image",outputs= ["text"])
demo.launch() |