| import cv2 |
| import numpy as np |
| import gradio as gr |
| from pyzbar.pyzbar import decode |
| from PIL import Image |
|
|
| def read_qr_barcode(image): |
| """Reads QR Code or Barcode from an uploaded image.""" |
| try: |
| |
| image = np.array(image.convert('RGB')) |
| gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY) |
| |
| |
| decoded_objects = decode(gray) |
| |
| if not decoded_objects: |
| return "No QR Code or Barcode found." |
| |
| results = [] |
| for obj in decoded_objects: |
| results.append(f"Type: {obj.type} | Data: {obj.data.decode('utf-8')}") |
| |
| return "\n".join(results) |
| |
| except Exception as e: |
| return f"Error: {str(e)}" |
|
|
| |
| interface = gr.Interface( |
| fn=read_qr_barcode, |
| inputs=gr.Image(type="pil", label="Upload QR/Barcode Image"), |
| outputs=gr.Textbox(label="Scan Result"), |
| description="Upload an image containing a QR Code or Barcode to scan and retrieve its data.", |
| css="footer {visibility: hidden}" |
| ) |
|
|
| interface.launch(share=True) |
|
|