Home Backend Development Python Tutorial How to create an image authentication system with python streamlit and canva!

How to create an image authentication system with python streamlit and canva!

Oct 24, 2024 am 08:14 AM

How to create an image authentication system with python streamlit and canva!The includes

import streamlit as st
import # your database manager here!
from cryptography.fernet import Fernet
from PIL import Image, PngImagePlugin
import base64, hashlib, uuid
Copy after login

Initialize a session with streamlit if you want to

def initialize_session_state():
   pass
Copy after login

The main script:

class BadgeConfig:
        def __init__(self):
          initialize_session_state()
          # Ensure badge_id is stored as a class attribute
          self.badge_id = None

        # Generate a SHA-256 hash from image data
        def generate_image_hash(self, image_data):
            return hashlib.sha256(image_data).hexdigest()

        # Create the encryption signature using Fernet
        def create_signature(self, unique_id):
            id_image_bytes = unique_id.encode("utf-8")
            # Ensure 32-byte length
            padded_id_image_bytes = id_image_bytes.ljust(32)[:32] 
            encoded_key = base64.urlsafe_b64encode(padded_id_image_bytes)
            return Fernet(encoded_key)

        # Check if image was created on Canva using PngImagePlugin
        def is_canva_image(self, image):
            if isinstance(image, PngImagePlugin.PngImageFile):
                # Extract metadata from the image
                metadata = image.info  # Info contains the metadata

                # Checking if 'Canva' appears in the 'xmp:CreatorTool' field
                xmp_metadata = metadata.get('XML:com.adobe.xmp', '')
                if "Canva" in xmp_metadata:
                    return True
                return False

        # Display the uploaded badge and validate its dimensions and source
        def process_image(self, user_badge):
            try:
                image = Image.open(user_badge)
                WIDTH, HEIGHT = image.size
                if WIDTH != 1080 or HEIGHT != 1920:
                    st.warning("This is not a valid dnakey-badge!")
                    st.stop()

                # Check if the image is created on Canva
                if not self.is_canva_image(image):
                    st.warning("The uploaded image is not a Canva PNG image!")
                    st.stop()

                st.image(user_badge, caption="Uploaded Image", use_column_width=True)

                # Reset the file pointer and read the image data for hashing
                user_badge.seek(0)
                return user_badge.read()
            except Exception as e:
                st.error(f"Error processing the image: {str(e)}")
                st.stop()

        # Handle badge activation and update session
        def activate_badge(self, badge_usage, config_manager):
            if not st.session_state['toast_shown']:
                st.toast("**:blue[Your Id Badge is activated now!]**", icon="?")
                st.session_state['toast_shown'] = True

            if not st.session_state['usage_updated'] and badge_usage > 0:
                config_manager.update_usage_badge_count()
                st.session_state['usage_updated'] = True

        # Main function to create a session and handle badge logic
        def create_session(self, user_badge):
            # Process image and generate its unique ID
            image_data = self.process_image(user_badge)
            unique_id = self.generate_image_hash(image_data)

            # Create an encryption signature
            signature = self.create_signature(unique_id)

            # Create a UUID (version 5) based on the existing unique_id
            self.badge_id = str(uuid.uuid5(uuid.NAMESPACE_DNS, unique_id))

            # Initialize config manager
            config_manager = ConfigManager(self.badge_id)
            badge_usage = config_manager.get_badge_usage()

            # Handle badge activation and session updates
            self.activate_badge(badge_usage, config_manager)

            return signature, self.badge_id  # Return the badge_id as well

# call the script
with st.sidebar:
     st.title("Log-In Here:")
     with st.popover("Upload Your Agent Badge!", use_container_width=True):
     user_badge = st.file_uploader("Your Agent Badge!", type=["png"], key="agent_badge")

     if user_badge:
        # User badge is uploaded
        signature, badge_id = BadgeConfig().create_session(user_badge)
Copy after login

The above is the detailed content of How to create an image authentication system with python streamlit and canva!. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1242
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

How Much Python Can You Learn in 2 Hours? How Much Python Can You Learn in 2 Hours? Apr 09, 2025 pm 04:33 PM

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

See all articles