Update app.py

app.py

@@ -1,8 +1,6 @@
 import streamlit as st
 import hashlib
-import qrcode
-from PIL import Image, ImageDraw
-import numpy as np
+from PIL import Image
 import io
 
 # Function to hash image data
@@ -11,25 +9,6 @@ def hash_image(image):
     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:
@@ -57,21 +36,11 @@ def check_authenticity(image):
 
 def process_image(image, description):
     image_format = image.format if hasattr(image, 'format') else 'PNG'  # Default to PNG if format cannot be detected
+    hash_code = hash_image(image)
+    save_hash(hash_code, description)
+    return "Image hash computed and stored."
 
-    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)
-
-    buffer = io.BytesIO()
-    image_with_qr.save(buffer, format=image_format)
-    buffer.seek(0)
-    return buffer.getvalue(), "Image processed and hashes stored."
-
-st.title('Image Authenticity and QR Code Embedding')
+st.title('Image Authenticity Checker')
 
 uploaded_file = st.file_uploader("Choose an image...", type=['png', 'jpg', 'jpeg'])
 description = st.text_input("Enter a description for the image:")
@@ -79,8 +48,7 @@ description = st.text_input("Enter a description for the image:")
 if uploaded_file is not None:
     image = Image.open(uploaded_file)
     if st.button('Process Image'):
-        processed_image_data, message = process_image(image, description)
-        st.image(processed_image_data, caption='Processed Image')
+        message = process_image(image, description)
         st.success(message)
 
 if st.button('Check Authenticity'):