Update app.py

app.py

@@ -1,108 +1,3 @@
-"""
-Secure KeyLock Decoder API Server
-
-This script deploys a secure Gradio application that acts as a server-side API
-for decrypting and retrieving JSON data hidden within PNG images.
-
-================================================================================
-▶️ DEPLOYMENT GUIDE
-================================================================================
-
----
-OPTION 1: DEPLOY TO HUGGING FACE SPACES (RECOMMENDED)
----
-This is the easiest and most secure way to deploy this application.
-
-1.  **Generate RSA Keys:**
-    First, you need a private/public RSA key pair. Use OpenSSL on your local machine:
-    ```bash
-    # Generate a 4096-bit private key (stronger)
-    openssl genpkey -algorithm RSA -out keylock_priv.pem -pkeyopt rsa_keygen_bits:4096
-
-    # Extract the public key from the private key
-    openssl rsa -pubout -in keylock_priv.pem -out keylock_pub.pem
-    ```
-    This will create two files: `keylock_priv.pem` (keep this secret!) and `keylock_pub.pem` (this is safe to share).
-
-2.  **Create a Hugging Face Space:**
-    - Go to Hugging Face and create a new "Space".
-    - Choose the "Gradio" SDK.
-    - Give it a name (e.g., "my-keylock-decoder").
-
-3.  **Upload Files to the Space Repository:**
-    - Rename this script to `app.py`.
-    - Create a `requirements.txt` file with the following content:
-      ```
-      gradio
-      numpy
-      Pillow
-      cryptography
-      ```
-    - Upload `app.py`, `requirements.txt`, and the public key `keylock_pub.pem` to your Space's repository.
-    - **DO NOT UPLOAD THE PRIVATE KEY (`keylock_priv.pem`)!**
-
-4.  **Set the Private Key as a Secret:**
-    - In your Space, go to the "Settings" tab.
-    - Find the "Repository secrets" section.
-    - Click "New secret".
-    - **Name:** `KEYLOCK_PRIV_KEY` (this name must be exact).
-    - **Value:** Open `keylock_priv.pem` on your local machine, copy its ENTIRE content (including `-----BEGIN PRIVATE KEY-----` and `-----END PRIVATE KEY-----`), and paste it into the value field.
-    - The application will now automatically and securely load this key at runtime.
-
----
-OPTION 2: RUN LOCALLY FOR DEVELOPMENT
----
-Use this for testing on your own computer.
-
-1.  **Generate Keys:** Follow Step 1 from the Hugging Face guide.
-
-2.  **Install Dependencies:**
-    ```bash
-    pip install gradio numpy Pillow cryptography
-    ```
-
-3.  **Set Environment Variable:**
-    You must provide the private key as an environment variable.
-    - Open `keylock_priv.pem`, copy its entire content into your clipboard.
-    - In your terminal (Linux/macOS):
-      ```bash
-      export KEYLOCK_PRIV_KEY='PASTE_THE_ENTIRE_KEY_CONTENT_HERE'
-      python app.py
-      ```
-    - In Windows PowerShell:
-      ```powershell
-      $env:KEYLOCK_PRIV_KEY='PASTE_THE_ENTIRE_KEY_CONTENT_HERE'
-      python app.py
-      ```
-
-4.  **Run the Script:** The app will be available at `http://127.0.0.1:7860`.
-
----
-OPTION 3: DEPLOY TO A SELF-HOSTED SERVER
----
-For advanced users deploying on their own VPS or server.
-
-1.  **Generate Keys & Install Dependencies:** Follow steps 1 & 2 from the local guide.
-
-2.  **Launch the App:**
-    Modify the `demo.launch()` line at the bottom of this script to bind to all network interfaces:
-    `demo.launch(server_name="0.0.0.0", server_port=7860)`
-
-3.  **Manage Environment Variable:**
-    Set the `KEYLOCK_PRIV_KEY` environment variable using a production-safe method like a `.env` file with `python-dotenv`, systemd service files, or your container orchestration platform (e.g., Docker, Kubernetes).
-
-4.  **Use a Reverse Proxy (CRITICAL):**
-    Do not expose the Gradio port directly to the internet. Place the application behind a reverse proxy like Nginx or Caddy. The proxy will handle SSL/TLS termination (HTTPS), provide better security, and manage traffic.
-
-================================================================================
-
-This application implements a hybrid security model:
-1.  **Steganography (LSB):** The encrypted payload is hidden in the least significant
-    bits (LSB) of the image's pixel data.
-2.  **Hybrid Encryption (RSA-KEM + AES-GCM):** The actual JSON payload is encrypted
-    with a one-time AES key, which itself is encrypted with the server's RSA public key.
-"""
-
 import os
 import io
 import json