Create app.py

app.py

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+import gradio as gr
+import cv2
+import pytesseract
+
+# Function to recognize license plate in the uploaded image
+def recognize_license_plate(image):
+    # Load the image
+    img = cv2.imdecode(image, cv2.IMREAD_COLOR)
+    
+    # Convert the image to grayscale
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    
+    # Apply thresholding to preprocess the image
+    _, thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
+    
+    # Use pytesseract to perform OCR (Optical Character Recognition)
+    text = pytesseract.image_to_string(thresh, config='--psm 6')
+    
+    # Display the recognized text
+    return text.strip()
+
+# Create Gradio interface
+gr.Interface(fn=recognize_license_plate, 
+             inputs=gr.inputs.Image(source="upload", type="pil"),
+             outputs="text",
+             title="License Plate Recognition",
+             description="Upload an image of a car containing a license plate.").launch()