Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+import requests
+from PIL import Image
+from io import BytesIO
+from transformers import pipeline
+
+# Load OCR pipeline once (server-side)
+ocr = pipeline("image-to-text", model="microsoft/trocr-base-stage1")
+
+def ocr_from_url(image_url: str):
+    try:
+        # Download image
+        resp = requests.get(image_url, timeout=10)
+        resp.raise_for_status()
+        img = Image.open(BytesIO(resp.content)).convert("RGB")
+
+        # Run OCR
+        result = ocr(img)
+        # pipeline returns list of dicts like [{'generated_text': 'ABC123'}]
+        text = result[0].get("generated_text", "UNKNOWN")
+        return text
+    except Exception as e:
+        return f"ERROR: {str(e)}"
+
+# Gradio interface: single text input (image URL) -> text output (plate)
+demo = gr.Interface(fn=ocr_from_url,
+                    inputs=gr.Textbox(label="Image URL"),
+                    outputs=gr.Textbox(label="Detected Plate"),
+                    title="License Plate OCR")
+
+if __name__ == "__main__":
+    demo.launch()