app.py

from transformers import VisionEncoderDecoderModel, TrOCRProcessor
from PIL import Image
import gradio as gr

model = VisionEncoderDecoderModel.from_pretrained("Mohamed1472001/my_trained_trocr")
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")

def predict(image):
    pixel_values = processor(images=image, return_tensors="pt").pixel_values
    generated_ids = model.generate(pixel_values)
    text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
    return text

gr.Interface(fn=predict, inputs="image", outputs="text").launch()