Create app.py

app.py

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+import gradio as gr
+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+from PIL import Image
+
+# Load model and processor
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-printed")
+model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-printed")
+
+def extract_text(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
+
+# Gradio interface
+iface = gr.Interface(
+    fn=extract_text,
+    inputs=gr.inputs.Image(type="pil"),
+    outputs="text",
+    title="OCR Text Extraction",
+    description="Extract printed text from images."
+)
+
+iface.launch()