app.py

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()