Upload app.py

app.py

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+import gradio as gr
+from transformers import LayoutLMv3Processor, LayoutLMv3ForTokenClassification
+from PIL import Image
+
+# Load model and processor
+processor = LayoutLMv3Processor.from_pretrained("quadranttechnologies/Table_OCR")
+model = LayoutLMv3ForTokenClassification.from_pretrained("quadranttechnologies/Table_OCR")
+
+def predict(image):
+    inputs = processor(images=image, return_tensors="pt")
+    outputs = model(**inputs)
+    predictions = outputs.logits.argmax(-1).squeeze().tolist()
+    return {"results": predictions}
+
+# Gradio interface
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs="json",
+    title="Table OCR",
+    description="Upload a receipt or document image to extract structured information.",
+)
+
+iface.launch()