diff --git a/.analyze.js.swp b/.analyze.js.swp
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diff --git a/.app.js.swp b/.app.js.swp
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diff --git a/analyze.js b/analyze.js
index 4ab497f..cc78858 100644
--- a/analyze.js
+++ b/analyze.js
@@ -1,117 +1,117 @@
 function startPitchDetection(callback) {
-  // Check for browser support
-  if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
-    console.error("getUserMedia is not supported in this browser.");
-    return;
-  }
+	// Check for browser support
+	if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
+		console.error("getUserMedia is not supported in this browser.");
+		return;
+	}
 
-  // Request access to the microphone
-  //navigator.mediaDevices.getUserMedia({ audio: true })
+	// Request access to the microphone
+	//navigator.mediaDevices.getUserMedia({ audio: true })
 	navigator.mediaDevices.getUserMedia({
-  audio: {
-    echoCancellation: false,
-    noiseSuppression: false,
-    autoGainControl: false
-  }
-})
-    .then(stream => {
-      // Create an audio context and an analyser node
-      const audioContext = new (window.AudioContext || window.webkitAudioContext)();
-      const analyser = audioContext.createAnalyser();
-      analyser.fftSize = 2048;  // Set FFT size; higher values offer more precision but more latency
+		audio: {
+			echoCancellation: false,
+			noiseSuppression: false,
+			autoGainControl: false
+		}
+	})
+		.then(stream => {
+			// Create an audio context and an analyser node
+			const audioContext = new (window.AudioContext || window.webkitAudioContext)();
+			const analyser = audioContext.createAnalyser();
+			analyser.fftSize = 2048;  // Set FFT size; higher values offer more precision but more latency
 
-      // Connect the microphone stream to the analyser node
-      const source = audioContext.createMediaStreamSource(stream);
-      source.connect(analyser);
+			// Connect the microphone stream to the analyser node
+			const source = audioContext.createMediaStreamSource(stream);
+			source.connect(analyser);
 
-      // Create a buffer to hold the time domain data
-      const bufferLength = analyser.fftSize;
-      const buffer = new Float32Array(bufferLength);
+			// Create a buffer to hold the time domain data
+			const bufferLength = analyser.fftSize;
+			const buffer = new Float32Array(bufferLength);
 
-      /**
-       * Autocorrelation algorithm to estimate pitch from the audio buffer.
-       * Returns the estimated pitch in Hz, or -1 if no pitch is detected.
-       */
-      function autoCorrelate(buf, sampleRate) {
-        const SIZE = buf.length;
-        let rms = 0;
+			/**
+			 * Autocorrelation algorithm to estimate pitch from the audio buffer.
+			 * Returns the estimated pitch in Hz, or -1 if no pitch is detected.
+			 */
+			function autoCorrelate(buf, sampleRate) {
+				const SIZE = buf.length;
+				let rms = 0;
 
-        // Compute Root Mean Square (RMS) to check if there's enough signal
-        for (let i = 0; i < SIZE; i++) {
-          const val = buf[i];
-          rms += val * val;
-        }
-        rms = Math.sqrt(rms / SIZE);
-        if (rms < 0.01) // Signal too weak – likely silence
-          return -1;
+				// Compute Root Mean Square (RMS) to check if there's enough signal
+				for (let i = 0; i < SIZE; i++) {
+					const val = buf[i];
+					rms += val * val;
+				}
+				rms = Math.sqrt(rms / SIZE);
+				if (rms < 0.01) // Signal too weak – likely silence
+					return -1;
 
-        // Trim the buffer to remove noise at the beginning and end
-        let r1 = 0, r2 = SIZE - 1;
-        for (let i = 0; i < SIZE; i++) {
-          if (Math.abs(buf[i]) < 0.2) { r1 = i; break; }
-        }
-        for (let i = 1; i < SIZE; i++) {
-          if (Math.abs(buf[SIZE - i]) < 0.2) { r2 = SIZE - i; break; }
-        }
-        const trimmedBuffer = buf.slice(r1, r2);
-        const trimmedSize = trimmedBuffer.length;
+				// Trim the buffer to remove noise at the beginning and end
+				let r1 = 0, r2 = SIZE - 1;
+				for (let i = 0; i < SIZE; i++) {
+					if (Math.abs(buf[i]) < 0.2) { r1 = i; break; }
+				}
+				for (let i = 1; i < SIZE; i++) {
+					if (Math.abs(buf[SIZE - i]) < 0.2) { r2 = SIZE - i; break; }
+				}
+				const trimmedBuffer = buf.slice(r1, r2);
+				const trimmedSize = trimmedBuffer.length;
 
-        // Calculate the autocorrelation of the trimmed buffer
-        const correlations = new Array(trimmedSize).fill(0);
-        for (let lag = 0; lag < trimmedSize; lag++) {
-          for (let i = 0; i < trimmedSize - lag; i++) {
-            correlations[lag] += trimmedBuffer[i] * trimmedBuffer[i + lag];
-          }
-        }
+				// Calculate the autocorrelation of the trimmed buffer
+				const correlations = new Array(trimmedSize).fill(0);
+				for (let lag = 0; lag < trimmedSize; lag++) {
+					for (let i = 0; i < trimmedSize - lag; i++) {
+						correlations[lag] += trimmedBuffer[i] * trimmedBuffer[i + lag];
+					}
+				}
 
-        // Find the first dip in the autocorrelation – skip lags before this point
-        let d = 0;
-        while (d < correlations.length - 1 && correlations[d] > correlations[d + 1]) {
-          d++;
-        }
+				// Find the first dip in the autocorrelation – skip lags before this point
+				let d = 0;
+				while (d < correlations.length - 1 && correlations[d] > correlations[d + 1]) {
+					d++;
+				}
 
-        // Search for the peak correlation after the dip
-        let maxVal = -1, maxPos = -1;
-        for (let i = d; i < correlations.length; i++) {
-          if (correlations[i] > maxVal) {
-            maxVal = correlations[i];
-            maxPos = i;
-          }
-        }
+				// Search for the peak correlation after the dip
+				let maxVal = -1, maxPos = -1;
+				for (let i = d; i < correlations.length; i++) {
+					if (correlations[i] > maxVal) {
+						maxVal = correlations[i];
+						maxPos = i;
+					}
+				}
 
-        // Parabolic interpolation for a more accurate peak estimate
-        let T0 = maxPos;
-        if (T0 > 0 && T0 < correlations.length - 1) {
-          const x1 = correlations[T0 - 1];
-          const x2 = correlations[T0];
-          const x3 = correlations[T0 + 1];
-          const a = (x1 + x3 - 2 * x2) / 2;
-          const b = (x3 - x1) / 2;
-          if (a !== 0) {
-            T0 = T0 - b / (2 * a);
-          }
-        }
+				// Parabolic interpolation for a more accurate peak estimate
+				let T0 = maxPos;
+				if (T0 > 0 && T0 < correlations.length - 1) {
+					const x1 = correlations[T0 - 1];
+					const x2 = correlations[T0];
+					const x3 = correlations[T0 + 1];
+					const a = (x1 + x3 - 2 * x2) / 2;
+					const b = (x3 - x1) / 2;
+					if (a !== 0) {
+						T0 = T0 - b / (2 * a);
+					}
+				}
 
-        // Convert lag to frequency
-        const pitch = sampleRate / T0;
-        return pitch;
-      }
+				// Convert lag to frequency
+				const pitch = sampleRate / T0;
+				return pitch;
+			}
 
-      // Continuously update and detect pitch
-      function updatePitch() {
-        // Get the latest time-domain data
-        analyser.getFloatTimeDomainData(buffer);
-        // Estimate pitch using our autocorrelation function
-        const pitch = autoCorrelate(buffer, audioContext.sampleRate);
-        // Pass the detected pitch (in Hz) to the provided callback
-        callback(pitch);
-        // Continue the update loop
-        requestAnimationFrame(updatePitch);
-      }
+			// Continuously update and detect pitch
+			function updatePitch() {
+				// Get the latest time-domain data
+				analyser.getFloatTimeDomainData(buffer);
+				// Estimate pitch using our autocorrelation function
+				const pitch = autoCorrelate(buffer, audioContext.sampleRate);
+				// Pass the detected pitch (in Hz) to the provided callback
+				callback(pitch);
+				// Continue the update loop
+				requestAnimationFrame(updatePitch);
+			}
 
-      updatePitch();
-    })
-    .catch(err => {
-      console.error("Error accessing the microphone: ", err);
-    });
+			updatePitch();
+		})
+		.catch(err => {
+			console.error("Error accessing the microphone: ", err);
+		});
 }