Code Update

server/app.py

@@ -6,11 +6,9 @@ from flask_cors import CORS
 from werkzeug.utils import secure_filename
 from processor import AudioImageProcessor
 
-# Serve the build folder from the parent directory
 app = Flask(__name__, static_folder='../build', static_url_path='')
-CORS(app) # Allow Svelte to communicate
+CORS(app)
 
-# Configuration
 UPLOAD_FOLDER = os.path.join(os.getcwd(), 'uploads')
 app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
 processor = AudioImageProcessor(UPLOAD_FOLDER)
@@ -21,29 +19,24 @@ def save_upload(file_obj):
     file_obj.save(path)
     return path
 
-# --- Frontend Routes ---
 @app.route('/')
 def index():
     return send_from_directory(app.static_folder, 'index.html')
 
 @app.errorhandler(404)
 def not_found(e):
-    # If the path starts with /api, return actual 404
     if request.path.startswith('/api/'):
         return jsonify({"error": "Not found"}), 404
-    # Otherwise return index.html for SPA routing
     return send_from_directory(app.static_folder, 'index.html')
 
 @app.route('/health', methods=['GET'])
 def health():
     return jsonify({"status": "ok", "max_mb": 40})
 
-# --- Background Cleanup ---
 import threading
 
 def cleanup_task():
-    """Background thread to clean up old files."""
-    expiration_seconds = 600  # 10 minutes
+    expiration_seconds = 600
     while True:
         try:
             now = time.time()
@@ -51,7 +44,6 @@ def cleanup_task():
                 for filename in os.listdir(UPLOAD_FOLDER):
                     filepath = os.path.join(UPLOAD_FOLDER, filename)
                     if os.path.isfile(filepath):
-                        # check creation time
                         if now - os.path.getctime(filepath) > expiration_seconds:
                             try:
                                 os.remove(filepath)
@@ -61,16 +53,12 @@ def cleanup_task():
         except Exception as e:
             print(f"Cleanup Error: {e}")
         
-        time.sleep(60) # Run every minute
+        time.sleep(60)
 
-# Start cleanup thread safely
 if os.environ.get('WERKZEUG_RUN_MAIN') == 'true' or not os.environ.get('WERKZEUG_RUN_MAIN'):
-    # Simple check to try and avoid double threads in reloader, though not perfect
     t = threading.Thread(target=cleanup_task, daemon=True)
     t.start()
 
-
-# --- Endpoint 1: Create Art (Optional: Embed Audio in it) ---
 @app.route('/api/generate-art', methods=['POST'])
 def generate_art():
     if 'audio' not in request.files:
@@ -83,27 +71,19 @@ def generate_art():
     art_path = None
     
     try:
-        # 1. Save Audio
         audio_path = save_upload(audio_file)
         
-        # 2. Generate Art
         min_pixels = 0
         if should_embed:
-             # Calculate required pixels: File Bytes * 8 (bits) / 3 (channels)
-             # Add 5% buffer for header and safety
              file_size = os.path.getsize(audio_path)
              min_pixels = int((file_size * 8 / 3) * 1.05)
              
         art_path = processor.generate_spectrogram(audio_path, min_pixels=min_pixels)
         
-        # 3. If Embed requested, run Steganography immediately using the art as host
         final_path = art_path
         if should_embed:
-            # art_path becomes the host, audio_path is the data
             final_path = processor.encode_stego(audio_path, art_path)
             
-            # If we created a new stego image, the pure art_path is intermediate (and audio is input)
-            # We can delete art_path now if it's different (it is)
             if art_path != final_path:
                  try: os.remove(art_path)
                  except: pass
@@ -115,14 +95,10 @@ def generate_art():
     except Exception as e:
         return jsonify({"error": str(e)}), 500
     finally:
-        # Cleanup Inputs
         if audio_path and os.path.exists(audio_path):
             try: os.remove(audio_path)
             except: pass
 
-
-
-# --- Endpoint 3: Steganography (Audio + Custom Host) ---
 @app.route('/api/hide', methods=['POST'])
 def hide_data():
     if 'data' not in request.files or 'host' not in request.files:
@@ -148,7 +124,6 @@ def hide_data():
             try: os.remove(host_path)
             except: pass
 
-# --- Endpoint 4: Decode (Universal) ---
 @app.route('/api/decode', methods=['POST'])
 def decode():
     if 'image' not in request.files:
@@ -159,7 +134,6 @@ def decode():
         img_path = save_upload(request.files['image'])
         restored_path = processor.decode_image(img_path)
         
-        # Determine mimetype based on extension for browser friendliness
         filename = os.path.basename(restored_path)
         return send_file(restored_path, as_attachment=True, download_name=filename)
     except ValueError as e:
@@ -171,13 +145,8 @@ def decode():
             try: os.remove(img_path)
             except: pass
 
-# --- Endpoint 4: Visualizer SSE Stream ---
 @app.route('/api/visualize', methods=['POST'])
 def visualize():
-    """
-    SSE endpoint that streams the spectrogram generation process.
-    Returns step-by-step updates for visualization.
-    """
     if 'audio' not in request.files:
         return jsonify({"error": "No audio file provided"}), 400
     
@@ -196,56 +165,48 @@ def visualize():
             try:
                 import base64
                 
-                # Step 1: Audio loaded
                 yield f"data: {json.dumps({'step': 1, 'status': 'loading', 'message': 'Loading audio file...', 'progress': 10})}\n\n"
                 time.sleep(0.8)
                 
                 yield f"data: {json.dumps({'step': 1, 'status': 'complete', 'message': f'Audio loaded: {audio_file.filename}', 'progress': 20, 'fileSize': file_size})}\n\n"
                 time.sleep(0.5)
                 
-                # Step 2: Analyzing audio
                 yield f"data: {json.dumps({'step': 2, 'status': 'loading', 'message': 'Analyzing audio frequencies...', 'progress': 30})}\n\n"
                 time.sleep(1.0)
                 
                 yield f"data: {json.dumps({'step': 2, 'status': 'complete', 'message': 'Frequency analysis complete', 'progress': 40})}\n\n"
                 time.sleep(0.5)
                 
-                # Step 3: Generating spectrogram
                 yield f"data: {json.dumps({'step': 3, 'status': 'loading', 'message': 'Generating spectrogram image...', 'progress': 50})}\n\n"
                 
                 print(f"[VISUALIZE] Starting spectrogram generation for {audio_path}")
                 art_path = processor.generate_spectrogram(audio_path, min_pixels=min_pixels)
                 print(f"[VISUALIZE] Spectrogram generated at {art_path}")
                 
-                # Read the spectrogram image and encode as base64
                 with open(art_path, 'rb') as img_file:
                     spectrogram_b64 = base64.b64encode(img_file.read()).decode('utf-8')
                 print(f"[VISUALIZE] Spectrogram base64 length: {len(spectrogram_b64)}")
                 
                 yield f"data: {json.dumps({'step': 3, 'status': 'complete', 'message': 'Spectrogram generated!', 'progress': 70, 'spectrogramImage': f'data:image/png;base64,{spectrogram_b64}'})}\n\n"
                 print("[VISUALIZE] Sent spectrogram image")
-                time.sleep(2.0)  # Pause to let user see the spectrogram
+                time.sleep(2.0)
                 
-                # Step 4: Embedding audio
                 yield f"data: {json.dumps({'step': 4, 'status': 'loading', 'message': 'Embedding audio into image (LSB steganography)...', 'progress': 80})}\n\n"
                 
                 final_path = processor.encode_stego(audio_path, art_path)
                 
-                # Read the final image and encode as base64
                 with open(final_path, 'rb') as img_file:
                     final_b64 = base64.b64encode(img_file.read()).decode('utf-8')
                 
                 yield f"data: {json.dumps({'step': 4, 'status': 'complete', 'message': 'Audio embedded successfully!', 'progress': 95, 'finalImage': f'data:image/png;base64,{final_b64}'})}\n\n"
-                time.sleep(2.0)  # Pause to let user see the final image
+                time.sleep(2.0)
                 
-                # Step 5: Complete - send the result URL
                 result_id = os.path.basename(final_path)
                 yield f"data: {json.dumps({'step': 5, 'status': 'complete', 'message': 'Process complete!', 'progress': 100, 'resultId': result_id})}\n\n"
                 
             except Exception as e:
                 yield f"data: {json.dumps({'step': 0, 'status': 'error', 'message': str(e), 'progress': 0})}\n\n"
             finally:
-                # Clean up intermediate files (but keep final)
                 if art_path and art_path != final_path and os.path.exists(art_path):
                     try: os.remove(art_path)
                     except: pass
@@ -265,16 +226,12 @@ def visualize():
             except: pass
         return jsonify({"error": str(e)}), 500
 
-
 @app.route('/api/result/<result_id>', methods=['GET'])
 def get_result(result_id):
-    """Serve the result image by ID."""
     result_path = os.path.join(app.config['UPLOAD_FOLDER'], result_id)
     if os.path.exists(result_path):
         return send_file(result_path, mimetype='image/png', as_attachment=False)
     return jsonify({"error": "Result not found"}), 404
 
-
 if __name__ == '__main__':
-    # Threaded=True is important for processing images without blocking
     app.run(debug=True, port=5000, threaded=True)

server/processor.py

@@ -6,12 +6,10 @@ import numpy as np
 import librosa
 import librosa.display
 import matplotlib
-# Set backend to Agg (Anti-Grain Geometry) to render without a GUI (essential for servers)
 matplotlib.use('Agg') 
 import matplotlib.pyplot as plt
 from PIL import Image
 
-# --- Constants ---
 MAX_MB = 40
 SIG_SHIFT = b'B2I!'
 SIG_STEGO = b'B2S!'
@@ -25,7 +23,6 @@ class AudioImageProcessor:
         os.makedirs(upload_folder, exist_ok=True)
 
     def _get_bytes(self, path):
-        """Helper to safely read bytes"""
         if os.path.getsize(path) > (MAX_MB * 1024 * 1024):
             raise ValueError("File too large (Max 40MB)")
         with open(path, 'rb') as f:
@@ -36,9 +33,7 @@ class AudioImageProcessor:
         ext_bytes = ext.encode('utf-8')
         return struct.pack(HEADER_FMT, signature, file_size, len(ext_bytes)) + ext_bytes
 
-    # --- Feature 1: Spectrogram Art ---
     def generate_spectrogram(self, audio_path, min_pixels=0):
-        """Generates a visual spectrogram from audio."""
         try:
             import torch
             import torchaudio
@@ -48,13 +43,10 @@ class AudioImageProcessor:
 
         if has_torch and torch.cuda.is_available():
             try:
-                # GPU Accelerated Path
                 device = "cuda"
                 waveform, sr = torchaudio.load(audio_path)
                 waveform = waveform.to(device)
                 
-                # Create transformation
-                # Mimic librosa defaults roughly: n_fft=2048, hop_length=512
                 n_fft = 2048
                 win_length = n_fft
                 hop_length = 512
@@ -72,17 +64,13 @@ class AudioImageProcessor:
                 S = mel_spectrogram(waveform)
                 S_dB = torchaudio.transforms.AmplitudeToDB()(S)
                 
-                # Back to CPU for plotting
-                S_dB = S_dB.cpu().numpy()[0] # Take first channel
-                # Librosa display expects numpy
+                S_dB = S_dB.cpu().numpy()[0]
             except Exception as e:
-                # Fallback to CPU/Librosa if any error occurs
                 print(f"GPU processing failed, falling back to CPU: {e}")
                 return self._generate_spectrogram_cpu(audio_path, min_pixels)
         else:
             return self._generate_spectrogram_cpu(audio_path, min_pixels)
 
-        # Plotting (Common)
         return self._plot_spectrogram(S_dB, sr, min_pixels)
 
     def _generate_spectrogram_cpu(self, audio_path, min_pixels=0):
@@ -92,44 +80,31 @@ class AudioImageProcessor:
         return self._plot_spectrogram(S_dB, sr, min_pixels)
         
     def _plot_spectrogram(self, S_dB, sr, min_pixels=0):
-        # Calculate DPI dynamically to ensure we have enough pixels for steganography
         dpi = 300
         if min_pixels > 0:
-            # Figure is 12x6 inches. Area = 72 sq inches.
-            # Total Pixels = 72 * dpi^2
             required_dpi = math.ceil((min_pixels / 72) ** 0.5)
-            # Add a small buffer
             dpi = max(dpi, int(required_dpi * 1.05))
 
-        # Use exact dimensions without margins
         width_in = 12
         height_in = 6
         fig = plt.figure(figsize=(width_in, height_in))
         
-        # Add axes covering the entire figure [left, bottom, width, height]
         ax = plt.axes([0, 0, 1, 1], frameon=False)
         ax.set_axis_off()
         
-        # 'magma' is a nice default
         librosa.display.specshow(S_dB, sr=sr, fmax=8000, cmap='magma', ax=ax)
 
         output_path = os.path.join(self.upload_folder, f"art_{int(time.time())}.png")
         
-        # specific DPI, no bbox_inches='tight' (which shrinks the image)
         plt.savefig(output_path, dpi=dpi)
         plt.close()
         return output_path
 
-
-
-    # --- Feature 3: Steganography (Embed in Host) ---
     def encode_stego(self, data_path, host_path):
-        # 1. Prepare Data
         file_data = self._get_bytes(data_path)
         header = self._create_header(SIG_STEGO, len(file_data), data_path)
         payload_bits = np.unpackbits(np.frombuffer(header + file_data, dtype=np.uint8))
         
-        # 2. Prepare Host
         host = Image.open(host_path).convert('RGB')
         host_arr = np.array(host)
         flat_host = host_arr.flatten()
@@ -137,7 +112,6 @@ class AudioImageProcessor:
         if len(payload_bits) > len(flat_host):
             raise ValueError(f"Host image too small. Need {len(payload_bits)/3/1e6:.2f} MP.")
 
-        # 3. Embed (LSB)
         padded_bits = np.pad(payload_bits, (0, len(flat_host) - len(payload_bits)), 'constant')
         embedded_flat = (flat_host & 0xFE) + padded_bits
         
@@ -147,19 +121,16 @@ class AudioImageProcessor:
         embedded_img.save(output_path, "PNG")
         return output_path
 
-    # --- Feature 4: Universal Decoder ---
     def decode_image(self, image_path):
         img = Image.open(image_path).convert('RGB')
         flat_bytes = np.array(img).flatten()
         
-        # Strategy A: Check for Shift Signature (Raw Bytes)
         try:
             sig = struct.unpack('>4s', flat_bytes[:4])[0]
             if sig == SIG_SHIFT:
                 return self._extract(flat_bytes, image_path, is_bits=False)
         except: pass
 
-        # Strategy B: Check for Stego Signature (LSB)
         try:
             sample_bytes = np.packbits(flat_bytes[:300] & 1)
             sig = struct.unpack('>4s', sample_bytes[:4])[0]

src/lib/components/DecoderTool.svelte

@@ -45,25 +45,20 @@
 				);
 			}
 
-			// 3. Handle success
 			const blob = await res.blob();
 			const downloadUrl = URL.createObjectURL(blob);
 
-			// Detect if it's audio
 			const contentDisposition = res.headers.get('Content-Disposition') || '';
 			let fileName = 'decoded_file';
 			const match = contentDisposition.match(/filename="?(.+)"?/);
 			if (match && match[1]) fileName = match[1];
 
 			if (fileName.match(/\.(mp3|aac|wav|ogg|m4a)$/i)) {
-				// Success! Dispatch the URL and image to parent for playing
-				// We'll pass the blob URL and the original file (to show cover art)
 				dispatch('decodesuccess', {
 					audioUrl: downloadUrl,
 					imageFile: decodeImageFile
 				});
 			} else {
-				// For non-audio (or unknown), auto-download as before
 				triggerDownload(downloadUrl, fileName);
 				URL.revokeObjectURL(downloadUrl);
 			}
@@ -81,7 +76,6 @@
 		document.body.appendChild(a);
 		a.click();
 		document.body.removeChild(a);
-		// Revoke the URL after download to free up memory
 		URL.revokeObjectURL(url);
 	}
 </script>

src/lib/components/EncoderTool.svelte

@@ -44,7 +44,6 @@
 		</p>
 
 		<div class="space-y-4">
-			<!-- Helper for inputs -->
 			{#each ['Payload File (Secret)', 'Host Image (Cover)'] as label, i}
 				<div>
 					<div class="mb-2 flex flex-wrap items-center justify-between gap-2">
@@ -89,7 +88,6 @@
 									stegoDataFile = file;
 								} else {
 									stegoHostFile = file;
-									// Calculate MP
 									const img = new Image();
 									const url = URL.createObjectURL(file);
 									img.onload = () => {

src/lib/components/ResultPreview.svelte

@@ -25,7 +25,6 @@
 		}
 	});
 
-	// Audio Player State
 	let audioElement: HTMLAudioElement | undefined = $state();
 	let isPaused = $state(true);
 	let currentTime = $state(0);
@@ -57,7 +56,6 @@
 </script>
 
 <section class="mt-10 space-y-6">
-	<!-- Audio Art / Encoder Results -->
 	<div class="grid gap-6 md:grid-cols-2">
 		{#if artResultUrl}
 			<div
@@ -116,7 +114,6 @@
 		{/if}
 	</div>
 
-	<!-- Decoded Audio Player -->
 	{#if decodedAudioUrl}
 		<div class="glass-panel p-6" transition:slide>
 			<h3 class="section-title mb-6 flex items-center gap-2 text-emerald-400">
@@ -125,7 +122,6 @@
 			</h3>
 
 			<div class="flex flex-col gap-6 md:flex-row md:items-center">
-				<!-- Cover Art -->
 				<div class="shrink-0">
 					<div
 						class="h-32 w-32 overflow-hidden rounded-xl border border-white/10 bg-(--bg-deep) md:h-40 md:w-40"
@@ -140,7 +136,6 @@
 					</div>
 				</div>
 
-				<!-- Player Controls -->
 				<div class="flex flex-1 flex-col justify-center">
 					<audio
 						src={decodedAudioUrl}
@@ -166,7 +161,6 @@
 							/>
 						</button>
 
-						<!-- Progress -->
 						<div class="flex flex-1 flex-col gap-1">
 							<button
 								type="button"

src/lib/components/SpectrogramTool.svelte

@@ -6,8 +6,6 @@
 	let audioFile: File | null = $state(null);
 	let embedAudio = $state(true);
 
-	// Helper functions passed from parent or redefined?
-	// Redefining helper for self-contained component
 	function handleFileDrop(e: DragEvent, setter: (f: File) => void) {
 		e.preventDefault();
 		if (e.dataTransfer?.files && e.dataTransfer.files[0]) {
@@ -32,12 +30,6 @@
 		formData.append('embed', embedAudio.toString());
 
 		try {
-			// We need API_URL. We can pass it as prop or assume generic relative path if served from same origin
-			// The original used absolute http://127.0.0.1:5000/api
-			// Let's assume the parent handles the API_URL or we import it.
-			// For now, hardcode or use relative '/api' if proxy is set up?
-			// User had 'http://127.0.0.1:5000/api'.
-
 			const res = await fetch('http://127.0.0.1:5000/api/generate-art', {
 				method: 'POST',
 				body: formData
@@ -90,7 +82,6 @@
 	</p>
 
 	<div class="space-y-4">
-		<!-- File Input -->
 		<div
 			class="cursor-pointer rounded-lg border-2 border-dashed border-(--border-subtle) p-8 text-center transition-colors hover:border-(--primary) {loading
 				? 'pointer-events-none opacity-50'

src/routes/+page.svelte

@@ -12,7 +12,6 @@
 	let artResultUrl = '';
 	let encoderResultUrl = '';
 
-	// Decoder State
 	let decodedAudioUrl: string | null = null;
 	let decodedImageFile: File | null = null;
 
@@ -92,9 +91,7 @@
 	{/if}
 
 	<div class="grid flex-1 gap-8 md:grid-cols-2">
-		<!-- LEFT COLUMN: CREATION TOOLS -->
 		<div class="space-y-8">
-			<!-- TOOL 1: SPECTROGRAM ART -->
 			<SpectrogramTool
 				{loading}
 				on:start={handleStart}
@@ -103,7 +100,6 @@
 				on:complete={handleArtComplete}
 			/>
 
-			<!-- TOOL 2: ENCODER (Shift & Hide) -->
 			<EncoderTool
 				{loading}
 				on:start={handleStart}
@@ -113,9 +109,7 @@
 			/>
 		</div>
 
-		<!-- RIGHT COLUMN: RESULTS & DECODER -->
 		<div class="space-y-8">
-			<!-- TOOL 3: UNIVERSAL DECODER -->
 			<DecoderTool
 				{loading}
 				on:start={handleStart}
@@ -124,7 +118,6 @@
 				on:decodesuccess={handleDecodeSuccess}
 			/>
 
-			<!-- RESULTS PREVIEW AREA -->
 			<ResultPreview {artResultUrl} {encoderResultUrl} {decodedAudioUrl} {decodedImageFile} />
 		</div>
 	</div>

src/routes/how/+page.svelte

@@ -11,7 +11,6 @@
 </svelte:head>
 
 <div class="container py-8 sm:py-12">
-	<!-- Header -->
 	<div class="mb-8 text-center sm:mb-12">
 		<a
 			href="/"
@@ -28,9 +27,7 @@
 		</p>
 	</div>
 
-	<!-- Content -->
 	<article class="mx-auto prose max-w-4xl prose-invert">
-		<!-- Section 1 -->
 		<section class="glass-panel mb-6 p-4 sm:mb-8 sm:p-6 md:p-8">
 			<h2 class="flex items-center gap-2 text-xl font-bold text-(--primary) sm:gap-3 sm:text-2xl">
 				<Icon icon="heroicons:cube-transparent" class="h-6 w-6 sm:h-7 sm:w-7" />
@@ -87,7 +84,6 @@
 			</p>
 		</section>
 
-		<!-- Section 2 -->
 		<section class="glass-panel mb-6 p-4 sm:mb-8 sm:p-6 md:p-8">
 			<h2 class="flex items-center gap-3 text-2xl font-bold text-pink-500">
 				<Icon icon="heroicons:lock-closed" class="h-7 w-7" />
@@ -152,7 +148,6 @@
 			</div>
 		</section>
 
-		<!-- Section 3 -->
 		<section class="glass-panel mb-6 p-4 sm:mb-8 sm:p-6 md:p-8">
 			<h2 class="flex items-center gap-3 text-2xl font-bold text-purple-400">
 				<Icon icon="heroicons:arrows-pointing-out" class="h-7 w-7" />
@@ -201,7 +196,6 @@
 			</p>
 		</section>
 
-		<!-- Section 4 -->
 		<section class="glass-panel mb-6 p-4 sm:mb-8 sm:p-6 md:p-8">
 			<h2 class="flex items-center gap-3 text-2xl font-bold text-emerald-400">
 				<Icon icon="heroicons:musical-note" class="h-7 w-7" />
@@ -252,7 +246,6 @@
 			</div>
 		</section>
 
-		<!-- Section 5 -->
 		<section class="glass-panel mb-6 p-4 sm:mb-8 sm:p-6 md:p-8">
 			<h2 class="flex items-center gap-3 text-2xl font-bold text-amber-400">
 				<Icon icon="heroicons:cog-6-tooth" class="h-7 w-7" />
@@ -319,7 +312,6 @@
 		</section>
 	</article>
 
-	<!-- Back to App Button -->
 	<div class="mt-8 text-center sm:mt-12">
 		<a href="/" class="btn-primary inline-flex items-center gap-2">
 			<Icon icon="heroicons:arrow-left" class="h-5 w-5" />

src/routes/visualizer/+page.svelte

@@ -2,7 +2,6 @@
 	import Icon from '@iconify/svelte';
 	import { fade, scale } from 'svelte/transition';
 
-	// State (Svelte 5 runes)
 	let audioFile: File | null = $state(null);
 	let isProcessing = $state(false);
 	let currentStep = $state(0);
@@ -10,11 +9,9 @@
 	let resultId: string | null = $state(null);
 	let error: string | null = $state(null);
 
-	// Image previews
 	let spectrogramImage: string | null = $state(null);
 	let finalImage: string | null = $state(null);
 
-	// Audio Visualizer State
 	let audioUrl: string | null = $state(null);
 	let audioElement: HTMLAudioElement | undefined = $state();
 	let canvasElement: HTMLCanvasElement | undefined = $state();
@@ -44,7 +41,6 @@
 			analyser.fftSize = 256;
 		}
 
-		// Create source only once per audio element/context session or reuse
 		if (!source) {
 			try {
 				source = audioContext.createMediaElementSource(audioElement);
@@ -61,7 +57,7 @@
 	function drawVisualizer() {
 		if (!canvasElement || !analyser) return;
 
-		analyser.fftSize = 2048; // Higher resolution for waveform
+		analyser.fftSize = 2048;
 		const bufferLength = analyser.frequencyBinCount;
 		const dataArray = new Uint8Array(bufferLength);
 		const ctx = canvasElement.getContext('2d');
@@ -74,21 +70,19 @@
 			}
 
 			animationFrame = requestAnimationFrame(draw);
-			analyser!.getByteTimeDomainData(dataArray); // Use TimeDomain for waveform
+			analyser!.getByteTimeDomainData(dataArray);
 
 			const width = canvasElement!.width;
 			const height = canvasElement!.height;
 
 			ctx.clearRect(0, 0, width, height);
 
-			// Draw smooth line waveform
 			ctx.lineWidth = 3;
 
-			// Create gradient
 			const gradient = ctx.createLinearGradient(0, 0, width, 0);
-			gradient.addColorStop(0, '#a855f7'); // Purple
-			gradient.addColorStop(0.5, '#ec4899'); // Pink
-			gradient.addColorStop(1, '#a855f7'); // Purple
+			gradient.addColorStop(0, '#a855f7');
+			gradient.addColorStop(0.5, '#ec4899');
+			gradient.addColorStop(1, '#a855f7');
 			ctx.strokeStyle = gradient;
 
 			ctx.beginPath();
@@ -114,7 +108,6 @@
 			ctx.lineTo(width, height / 2);
 			ctx.stroke();
 
-			// Optional: Draw a center line for reference
 			ctx.shadowBlur = 0;
 			ctx.strokeStyle = 'rgba(255, 255, 255, 0.1)';
 			ctx.lineWidth = 1;
@@ -140,8 +133,6 @@
 
 		isProcessing = true;
 
-		// Initialize and play audio
-		// Small timeout to ensure DOM elements are rendered
 		setTimeout(() => {
 			if (audioElement && audioContext?.state === 'suspended') {
 				audioContext.resume();
@@ -183,9 +174,8 @@
 
 				buffer += decoder.decode(value, { stream: true });
 
-				// Process complete SSE messages (they end with \n\n)
 				const messages = buffer.split('\n\n');
-				buffer = messages.pop() || ''; // Keep the incomplete last part
+				buffer = messages.pop() || '';
 
 				for (const message of messages) {
 					const lines = message.split('\n');
@@ -196,7 +186,6 @@
 								currentStep = data.step;
 								progress = data.progress;
 
-								// Capture images
 								if (data.spectrogramImage) {
 									spectrogramImage = data.spectrogramImage;
 								}
@@ -236,10 +225,6 @@
 		}
 		if (animationFrame) cancelAnimationFrame(animationFrame);
 
-		// Don't nullify audioContext to reuse it, or close it if you prefer
-		// source = null; // Source node usually stays valid for the context?
-		// Actually, if we remove audio element, we might need to recreate source next time.
-		// For simplicity, we just stop playing. Since audioFile becomes null, the audio element is removed/replaced.
 		source = null;
 
 		audioFile = null;
@@ -262,7 +247,6 @@
 </svelte:head>
 
 <div class="container py-8 sm:py-12">
-	<!-- Header -->
 	<div class="mb-8 text-center sm:mb-12">
 		<a
 			href="/"
@@ -279,9 +263,7 @@
 		</p>
 	</div>
 
-	<!-- Main Content -->
 	<div class="mx-auto max-w-4xl space-y-6">
-		<!-- Upload Section (only visible when no images and not processing) -->
 		{#if !spectrogramImage && !finalImage && !isProcessing}
 			<div class="glass-panel p-6 sm:p-8" transition:fade>
 				<h2 class="section-title mb-4 text-(--primary)">
@@ -317,10 +299,8 @@
 			</div>
 		{/if}
 
-		<!-- Progress Bar & Audio Visualizer (visible during processing) -->
 		{#if isProcessing}
 			<div class="space-y-6" transition:fade>
-				<!-- Audio Visualizer -->
 				{#if audioUrl}
 					<div class="glass-panel relative overflow-hidden p-0">
 						<canvas
@@ -329,16 +309,9 @@
 							height="120"
 							class="h-32 w-full object-cover opacity-80"
 						></canvas>
-						<audio
-							bind:this={audioElement}
-							src={audioUrl}
-							class="hidden"
-							onended={() => {
-								/* Optional: handle end */
-							}}
+						<audio bind:this={audioElement} src={audioUrl} class="hidden" onended={() => {}}
 						></audio>
 
-						<!-- Overlay Info -->
 						<div
 							class="absolute bottom-3 left-6 flex items-center gap-2 text-sm font-medium text-white/80"
 						>
@@ -375,7 +348,6 @@
 			</div>
 		{/if}
 
-		<!-- Image Preview (visible when images exist or processing) -->
 		{#if spectrogramImage || finalImage || isProcessing}
 			<div class="glass-panel p-6 sm:p-8" transition:scale>
 				<div class="mb-6 flex items-center justify-between">
@@ -395,7 +367,6 @@
 				</div>
 
 				<div class="grid gap-6 md:grid-cols-2">
-					<!-- Spectrogram Preview -->
 					<div class="relative">
 						<div
 							class="absolute -top-3 left-4 z-10 rounded-full border border-pink-500/30 bg-(--bg-card) px-3 py-1 text-xs font-semibold text-pink-500"
@@ -427,7 +398,6 @@
 						</p>
 					</div>
 
-					<!-- Final Image Preview -->
 					<div class="relative">
 						<div
 							class="absolute -top-3 left-4 z-10 rounded-full border border-emerald-500/30 bg-(--bg-card) px-3 py-1 text-xs font-semibold text-emerald-400"
@@ -472,7 +442,6 @@
 					</div>
 				</div>
 
-				<!-- Download button when complete -->
 				{#if resultId && !isProcessing}
 					<div class="mt-6">
 						<a
@@ -488,7 +457,6 @@
 			</div>
 		{/if}
 
-		<!-- Error -->
 		{#if error}
 			<div
 				class="rounded-lg border border-red-500/30 bg-red-500/10 p-4 text-red-400"
@@ -509,7 +477,6 @@
 		{/if}
 	</div>
 
-	<!-- Back Button -->
 	<div class="mt-8 text-center sm:mt-12">
 		<a href="/" class="btn-primary inline-flex items-center gap-2">
 			<Icon icon="heroicons:arrow-left" class="h-5 w-5" />
@@ -519,7 +486,6 @@
 </div>
 
 <style>
-	/* Scanline reveal animation for spectrogram */
 	.image-reveal {
 		animation: revealFromTop 1s ease-out forwards;
 		overflow: hidden;

svelte.config.js

@@ -1,7 +1,6 @@
 import adapter from '@sveltejs/adapter-static';
 import { vitePreprocess } from '@sveltejs/vite-plugin-svelte';
 
-/** @type {import('@sveltejs/kit').Config} */
 const config = {
 	preprocess: vitePreprocess(),
 	kit: {