Create app.py

app.py

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+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()