app.py

import cv2
import pylibdmtx.pylibdmtx as pylibdmtx
import gradio as gr

def read_barcodes(image):
    # Load the image
    img = cv2.imdecode(image, cv2.IMREAD_GRAYSCALE)

    # Decode DataMatrix barcodes
    barcodes = pylibdmtx.decode(img)

    # Process each barcode found
    results = []
    for barcode in barcodes:
        # Extract the data (text) from the barcode
        barcode_data = barcode.data.decode("utf-8")
        barcode_type = "DataMatrix"

        # Store the barcode type and data
        results.append((barcode_type, barcode_data))

    return results

def process_image(image):
    # Convert the image data to a numpy array
    img = image.reshape((image.shape[0], image.shape[1]))

    # Call the function to read barcodes from the image
    results = read_barcodes(img)

    if len(results) == 0:
        return "No barcode found."
    else:
        output = ""
        for barcode_type, barcode_data in results:
            output += f"Type: {barcode_type}, Data: {barcode_data}\n"
        return output.strip()

# Define the input and output interfaces using Gradio
inputs = gr.inputs.Image(label="Input Image")
output = gr.outputs.Textbox(label="Extracted Text")

# Create the Gradio interface
gr.Interface(fn=process_image, inputs=inputs, outputs=output, title="Barcode Reader", 
             description="Upload an image to extract text from DataMatrix barcodes.").launch()