app.py

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

# Load TrOCR model
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")

def recognize_text(image):
    image = image.convert("RGB")
    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

# Gradio UI
note = gr.Interface(
    fn=recognize_text,
    inputs=gr.Image(type="pil"),
    outputs="text",
    title="Handwritten Note to Digital Text",
    description="Upload an image of handwritten text, and the AI will convert it to digital text."
)

note.launch()