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muzammil-eds commited on Sep 5

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e11c9fd

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1 Parent(s): 7b855af

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asset-manifest.json +6 -0
favicon.ico +0 -0
index.html +1 -282

asset-manifest.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "main.css": "static/css/main.8254a768.css",
+  "main.css.map": "static/css/main.8254a768.css.map",
+  "main.js": "static/js/main.daa40ad9.js",
+  "main.js.map": "static/js/main.daa40ad9.js.map"
+}

favicon.ico ADDED Viewed

index.html CHANGED Viewed

@@ -1,282 +1 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Audio Transcription and Similarity Checker</title>
-    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
-    <style>
-        body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            background-color: #f4f4f4;
-            padding: 20px;
-        }
-        .container {
-            max-width: 800px;
-            margin: 0 auto;
-            background: #fff;
-            padding: 30px;
-            border-radius: 10px;
-            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-        }
-        h1 {
-            text-align: center;
-            margin-bottom: 30px;
-        }
-        .audio-section {
-            text-align: center;
-            margin-bottom: 20px;
-        }
-        input[type="file"] {
-            display: none;
-        }
-        .upload-btn {
-            background-color: #007bff;
-            color: white;
-            padding: 10px 20px;
-            cursor: pointer;
-            border-radius: 5px;
-            margin: 10px;
-            border: none;
-            display: inline-block;
-        }
-        .button {
-            background-color: #28a745;
-            color: white;
-            padding: 10px 20px;
-            cursor: pointer;
-            border: none;
-            border-radius: 5px;
-            margin-top: 20px;
-            display: block;
-            width: 100%;
-            font-size: 16px;
-        }
-        .button:hover {
-            background-color: #218838;
-        }
-        #progress-bar {
-            width: 0;
-            height: 20px;
-            background-color: #4caf50;
-            text-align: center;
-            line-height: 20px;
-            color: white;
-            border-radius: 5px;
-            display: none;
-        }
-        #progress-container {
-            width: 100%;
-            background-color: #ddd;
-            border-radius: 5px;
-            margin-top: 20px;
-        }
-        .result {
-            margin-top: 20px;
-        }
-        .recorder {
-            cursor: pointer;
-            background-color: #dc3545;
-            color: white;
-            padding: 10px 20px;
-            border-radius: 50%;
-            font-size: 24px;
-            display: inline-block;
-            margin-top: 20px;
-        }
-        .stop-button {
-            background-color: #ff5733;
-            color: white;
-            padding: 10px 20px;
-            cursor: pointer;
-            border-radius: 5px;
-            display: none;
-            margin: 10px;
-        }
-    </style>
-</head>
-<body>
-    <div class="container">
-        <h1>Audio Transcription and Similarity Checker</h1>
-        <div id="original-audio" class="audio-section">
-            <h2>Upload or Record Original Audio</h2>
-            <label class="upload-btn" for="originalFile">Choose Audio File</label>
-            <input type="file" id="originalFile" accept="audio/*">
-            <div id="originalRecorder" class="recorder">
-                <i class="fas fa-microphone"></i> Record
-            </div>
-            <button id="stopOriginalRecording" class="stop-button">Stop Recording</button>
-        </div>
-        <div id="user-audio" class="audio-section">
-            <h2>Upload or Record User Audio</h2>
-            <label class="upload-btn" for="userFile">Choose Audio File</label>
-            <input type="file" id="userFile" accept="audio/*">
-            <div id="userRecorder" class="recorder">
-                <i class="fas fa-microphone"></i> Record
-            </div>
-            <button id="stopUserRecording" class="stop-button">Stop Recording</button>
-        </div>
-        <button id="transcribeButton" class="button">Perform Transcription and Testing</button>
-        <div id="progress-container">
-            <div id="progress-bar">0%</div>
-        </div>
-        <div id="result" class="result"></div>
-    </div>
-    <script src="https://cdn.jsdelivr.net/npm/@huggingface/transformers"></script>
-    <script>
-        const MODEL_ID = "facebook/wav2vec2-large-960h";  // Sample model, change if necessary
-        let processor, model;
-        let originalAudioBlob = null;
-        let userAudioBlob = null;
-        // Load model and processor
-        async function loadModel() {
-            processor = await transformers.AutoProcessor.from_pretrained(MODEL_ID);
-            model = await transformers.Wav2Vec2ForCTC.from_pretrained(MODEL_ID);
-        }
-        // Simulate progress bar loading
-        function updateProgressBar(percentComplete) {
-            const progressBar = document.getElementById("progress-bar");
-            progressBar.style.width = percentComplete + "%";
-            progressBar.innerHTML = percentComplete + "%";
-            if (percentComplete === 100) {
-                setTimeout(() => {
-                    progressBar.style.display = "none";
-                    progressBar.style.width = "0%";
-                }, 500);
-            } else {
-                progressBar.style.display = "block";
-            }
-        }
-        async function transcribe(audioBlob) {
-            const arrayBuffer = await audioBlob.arrayBuffer();
-            const audioData = new Float32Array(arrayBuffer);
-            const inputValues = processor(audioData, {return_tensors: "pt", padding: true}).input_values;
-            const logits = await model(inputValues).logits;
-            const predicted_ids = logits.argmax(-1);
-            const transcription = processor.decode(predicted_ids, {skip_special_tokens: true});
-            return transcription;
-        }
-        document.getElementById("transcribeButton").addEventListener("click", async () => {
-            if (!originalAudioBlob && !document.getElementById("originalFile").files[0]) {
-                alert("Please upload or record original audio.");
-                return;
-            }
-            if (!userAudioBlob && !document.getElementById("userFile").files[0]) {
-                alert("Please upload or record user audio.");
-                return;
-            }
-            updateProgressBar(0);
-            let percentComplete = 0;
-            const progressInterval = setInterval(() => {
-                percentComplete += 10;
-                updateProgressBar(percentComplete);
-                if (percentComplete >= 100) clearInterval(progressInterval);
-            }, 200);
-            if (!originalAudioBlob) {
-                originalAudioBlob = document.getElementById("originalFile").files[0];
-            }
-            if (!userAudioBlob) {
-                userAudioBlob = document.getElementById("userFile").files[0];
-            }
-            const transcriptionOriginal = await transcribe(originalAudioBlob);
-            const transcriptionUser = await transcribe(userAudioBlob);
-            clearInterval(progressInterval);
-            updateProgressBar(100);
-            const levenshteinDistance = (a, b) => {
-                let dp = Array.from({length: a.length + 1}, () => Array(b.length + 1).fill(0));
-                for (let i = 0; i <= a.length; i++) dp[i][0] = i;
-                for (let j = 0; j <= b.length; j++) dp[0][j] = j;
-                for (let i = 1; i <= a.length; i++) {
-                    for (let j = 1; j <= b.length; j++) {
-                        dp[i][j] = a[i - 1] === b[j - 1] ? dp[i - 1][j - 1] : Math.min(dp[i - 1][j], dp[i][j - 1], dp[i - 1][j - 1]) + 1;
-                    }
-                }
-                return dp[a.length][b.length];
-            };
-            const similarityScore = 1 - levenshteinDistance(transcriptionOriginal, transcriptionUser) / Math.max(transcriptionOriginal.length, transcriptionUser.length);
-            document.getElementById("result").innerHTML = `
-                <h2>Transcription Results</h2>
-                <p><strong>Original Transcription:</strong> ${transcriptionOriginal}</p>
-                <p><strong>User Transcription:</strong> ${transcriptionUser}</p>
-                <p><strong>Levenshtein Similarity Score:</strong> ${similarityScore.toFixed(2)}</p>
-            `;
-        });
-        // Initialize model
-        loadModel();
-        // Handle voice recording (using browser APIs)
-        const recordAudio = () => {
-            return new Promise(async resolve => {
-                const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
-                const mediaRecorder = new MediaRecorder(stream);
-                const audioChunks = [];
-                mediaRecorder.addEventListener("dataavailable", event => {
-                    audioChunks.push(event.data);
-                });
-                mediaRecorder.addEventListener("stop", () => {
-                    const audioBlob = new Blob(audioChunks);
-                    resolve(audioBlob);
-                });
-                mediaRecorder.start();
-                return mediaRecorder;
-            });
-        };
-        let originalRecorderInstance, userRecorderInstance;
-        document.getElementById("originalRecorder").addEventListener("click", async () => {
-            originalRecorderInstance = await recordAudio();
-            document.getElementById("stopOriginalRecording").style.display = "inline-block";
-            document.getElementById("originalRecorder").style.display = "none";
-        });
-        document.getElementById("stopOriginalRecording").addEventListener("click", () => {
-            originalRecorderInstance.stop();
-            originalRecorderInstance.addEventListener("stop", async () => {
-                originalAudioBlob = new Blob(originalRecorderInstance);
-                alert("Original audio recorded!");
-            });
-            document.getElementById("stopOriginalRecording").style.display = "none";
-            document.getElementById("originalRecorder").style.display = "inline-block";
-        });
-        document.getElementById("userRecorder").addEventListener("click", async () => {
-            userRecorderInstance = await recordAudio();
-            document.getElementById("stopUserRecording").style.display = "inline-block";
-            document.getElementById("userRecorder").style.display = "none";
-        });
-        document.getElementById("stopUserRecording").addEventListener("click", () => {
-            userRecorderInstance.stop();
-            userRecorderInstance.addEventListener("stop", async () => {
-                userAudioBlob = new Blob(userRecorderInstance);
-                alert("User audio recorded!");
-            });
-            document.getElementById("stopUserRecording").style.display = "none";
-            document.getElementById("userRecorder").style.display = "inline-block";
-        });
-    </script>
-</body>
-</html>


1	+ <!doctype html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><link rel="shortcut icon" href="/favicon.ico"><title>React App</title><link href="/static/css/main.8254a768.css" rel="stylesheet"></head><body><div id="root"></div><script type="text/javascript" src="/static/js/main.daa40ad9.js"></script></body></html>