Rename static/index.js to static/script.js

static/index.js

@@ -1,126 +0,0 @@
-if (document.location.search.includes('dark-theme=true')) {
-  document.body.classList.add('dark-theme');
-}
-
-let cursor = 0;
-const RANGE = 5;
-const LIMIT = 16_000;
-
-const textToImage = async (text) => {
-  const inferenceResponse = await fetch(`infer_biggan?input=${text}`);
-  const inferenceBlob = await inferenceResponse.blob();
-
-  return URL.createObjectURL(inferenceBlob);
-};
-
-const translateText = async (text) => {
-  const inferResponse = await fetch(`infer_t5?input=${text}`);
-  const inferJson = await inferResponse.json();
-
-  return inferJson.output;
-};
-
-const queryDataset = async (start, end) => {
-  const queryResponse = await fetch(`query_emotion?start=${start}&end=${end}`);
-  const queryJson = await queryResponse.json();
-
-  return queryJson.output;
-};
-
-const updateTable = async (cursor, range = RANGE) => {
-  const table = document.querySelector('.dataset-output');
-
-  const fragment = new DocumentFragment();
-
-  const observations = await queryDataset(cursor, cursor + range);
-
-  for (const observation of observations) {
-    let row = document.createElement('tr');
-    let text = document.createElement('td');
-    let emotion = document.createElement('td');
-
-    text.textContent = observation.text;
-    emotion.textContent = observation.emotion;
-
-    row.appendChild(text);
-    row.appendChild(emotion);
-    fragment.appendChild(row);
-  }
-
-  table.innerHTML = '';
-
-  table.appendChild(fragment);
-
-  table.insertAdjacentHTML(
-    'afterbegin',
-    `<thead>
-      <tr>
-        <td>text</td>
-        <td>emotion</td>
-      </tr>
-    </thead>`
-  );
-};
-
-const imageGenSelect = document.getElementById('image-gen-input');
-const imageGenImage = document.querySelector('.image-gen-output');
-const textGenForm = document.querySelector('.text-gen-form');
-const tableButtonPrev = document.querySelector('.table-previous');
-const tableButtonNext = document.querySelector('.table-next');
-
-imageGenSelect.addEventListener('change', async (event) => {
-  const value = event.target.value;
-
-  try {
-    imageGenImage.src = await textToImage(value);
-    imageGenImage.alt = value + ' generated from BigGAN AI model';
-  } catch (err) {
-    console.error(err);
-  }
-});
-
-textGenForm.addEventListener('submit', async (event) => {
-  event.preventDefault();
-
-  const textGenInput = document.getElementById('text-gen-input');
-  const textGenParagraph = document.querySelector('.text-gen-output');
-
-  try {
-    textGenParagraph.textContent = await translateText(textGenInput.value);
-  } catch (err) {
-    console.error(err);
-  }
-});
-
-tableButtonPrev.addEventListener('click', () => {
-  cursor = cursor > RANGE ? cursor - RANGE : 0;
-
-  if (cursor < RANGE) {
-    tableButtonPrev.classList.add('hidden');
-  }
-  if (cursor < LIMIT - RANGE) {
-    tableButtonNext.classList.remove('hidden');
-  }
-
-  updateTable(cursor);
-});
-
-tableButtonNext.addEventListener('click', () => {
-  cursor = cursor < LIMIT - RANGE ? cursor + RANGE : cursor;
-
-  if (cursor >= RANGE) {
-    tableButtonPrev.classList.remove('hidden');
-  }
-  if (cursor >= LIMIT - RANGE) {
-    tableButtonNext.classList.add('hidden');
-  }
-
-  updateTable(cursor);
-});
-
-textToImage(imageGenSelect.value)
-  .then((image) => (imageGenImage.src = image))
-  .catch(console.error);
-
-updateTable(cursor)
-  .catch(console.error);

static/script.js

@@ -0,0 +1,47 @@
+$(document).ready(function () {
+  let recording = false;
+
+  $("#startBtn").click(function () {
+    const youtubeUrl = $("#urlInput").val().trim();
+    if (youtubeUrl === "") {
+      showMessage("Please enter a valid YouTube Livestream URL.", "danger");
+      return;
+    }
+
+    // Call the start_process route in Flask
+    $.ajax({
+      type: "POST",
+      url: "/start_process",
+      data: { url: youtubeUrl },
+      success: function (data) {
+        showMessage(data.message, "success");
+        recording = true;
+      },
+      error: function (xhr, status, error) {
+        showMessage("Error: " + xhr.responseText, "danger");
+      },
+    });
+  });
+
+  $("#stopBtn").click(function () {
+    showMessage("Stopping transcription. This may take upto 30 sec.", "success");
+    // Call the stop_process route in Flask
+    $.ajax({
+      type: "POST",
+      url: "/stop_process",
+      success: function (data) {
+        showMessage(data.message, "success");
+        recording = false;
+      },
+      error: function (xhr, status, error) {
+        showMessage("Error: " + xhr.responseText, "danger");
+      },
+    });
+  });
+
+  function showMessage(message, type) {
+    $("#message").html(
+      `<div class="alert alert-${type}" role="alert">${message}</div>`
+    );
+  }
+});