app.py

import gradio as gr
import hashlib
import qrcode
from PIL import Image, ImageDraw
import os
from PIL import Image
import numpy as np

# Function to hash image data
def hash_image(image):
    image_data = image.tobytes()
    image_hash = hashlib.sha256(image_data).hexdigest()
    return image_hash

# Function to generate QR code
def generate_qr_code(data):
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_L,
        box_size=10,
        border=4,
    )
    qr.add_data(data)
    qr.make(fit=True)
    qr_img = qr.make_image(fill='black', back_color='white')
    return qr_img


def embed_qr_code(image, qr_img):
    if isinstance(image, np.ndarray):
        image = Image.fromarray(image.astype('uint8'))  # Convert NumPy array to PIL Image
    image.paste(qr_img, (10, 10))  # Adjust position as needed
    return image


# Function to save hash to file
def save_hash(hash_code, description=""):
    with open("hash.txt", "a") as file:
        file.write(f"{hash_code}: {description}\n")

# Function to check image authenticity
def check_authenticity(image):
    hash_code = hash_image(image)
    try:
        with open("hash.txt", "r") as file:
            hashes = file.readlines()
            for line in hashes:
                parts = line.strip().split(': ', 1)
                if len(parts) == 2:
                    saved_hash, description = parts
                    if saved_hash == hash_code:
                        return f"Image is authentic. Description: {description}"
                else:
                    # Handle the case where there is no ':' or description
                    saved_hash = parts[0]
                    if saved_hash == hash_code:
                        return "Image is authentic, but no description provided."
    except FileNotFoundError:
        return "Hash file not found. Please process an image first."
    return "Image is new or modified."


def process_image(image, description):
    hash_code1 = hash_image(image)
    qr_img = generate_qr_code(hash_code1)
    qr_img = qr_img.resize((100, 100))  # Resize QR code as needed
    image_with_qr = embed_qr_code(image, qr_img)
    save_hash(hash_code1, description)
    hash_code2 = hash_image(image_with_qr)
    save_hash(hash_code2)
    return image_with_qr, "Image processed and hashes stored."

# Update Gradio interface setup to handle the tuple output properly
with gr.Blocks() as app:
    with gr.Tab("Upload and Process Image"):
        with gr.Row():
            image_input = gr.Image(label="Upload Image")
            description_input = gr.Textbox(label="Description")
            submit_button = gr.Button("Process Image")
        image_output = gr.Image(label="Processed Image")
        message_output = gr.Textbox(label="Status Message")
        submit_button.click(
            process_image, 
            inputs=[image_input, description_input], 
            outputs=[image_output, message_output]
        )

    with gr.Tab("Check Image Authenticity"):
        with gr.Row():
            image_check_input = gr.Image(label="Upload Image to Verify")
            check_button = gr.Button("Check Authenticity")
        authenticity_output = gr.Textbox(label="Result")
        check_button.click(check_authenticity, inputs=[image_check_input], outputs=authenticity_output)

# Launch the application
app.launch()