app.py

# app.py
# =============
# This is a complete app.py file for a QR code scanner using Gradio and Hugging Face Transformers.

import gradio as gr
import cv2
from pyzbar.pyzbar import decode
from PIL import Image
import numpy as np

def scan_qr_code(image):
    """
    Scan QR code from the uploaded image.

    Args:
    image (PIL.Image.Image or dict): The uploaded image or a dictionary containing the image file path.

    Returns:
    str: The decoded QR code data with a descriptive message.
    """
    # Convert file path to PIL image if necessary
    if isinstance(image, dict):
        image = Image.open(image['name'])

    # Convert PIL image to OpenCV format
    open_cv_image = np.array(image)
    open_cv_image = open_cv_image[:, :, ::-1].copy()

    # Decode QR code
    decoded_objects = decode(open_cv_image)
    if decoded_objects:
        for obj in decoded_objects:
            decoded_data = obj.data.decode('utf-8')
            return f"The code contains the following data: {decoded_data}"
    return "No QR code found"

# Define the Gradio interface
iface = gr.Interface(
    fn=scan_qr_code,
    inputs=gr.Image(type="filepath"),
    outputs=gr.Textbox(),
    title="QR Code Scanner",
    description="Upload an image containing a QR code to decode it."
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch()