204 lines
7.1 KiB
HTML
204 lines
7.1 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet">
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<script src="https://cdn.jsdelivr.net/npm/@popperjs/core@2.11.6/dist/umd/popper.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/js/bootstrap.min.js"></script>
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<title>AI Text Summarizer</title>
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</head>
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<body>
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<style>
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.lds-dual-ring {
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display: inline-block;
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width: 10px;
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height: 23px;
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}
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.lds-dual-ring:after {
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content: " ";
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display: block;
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width: 23px;
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height: 23px;
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margin: 8px;
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border-radius: 50%;
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border: 6px solid var(--bs-blue);
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border-color: var(--bs-blue) transparent var(--bs-blue) transparent;
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animation: lds-dual-ring 1.2s linear infinite;
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}
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@keyframes lds-dual-ring {
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0% {
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transform: rotate(0deg);
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}
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100% {
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transform: rotate(360deg);
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}
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}
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</style>
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<div class="container">
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<h1 class="my-4">AI Text Summarizer</h1>
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<form id="summarize-form" class="form-inline">
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<div class="form-group">
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<div class="mb-3">
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<label for="text" class="form-label">Enter text to summarize:</label>
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<textarea id="text" name="text" class="form-control" rows="10" required></textarea>
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</div>
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<div class="mb-3">
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<div class="dropdown d-inline-block">
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<label for="model">Select model:</label>
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<select id="model" name="model" class="form-select"
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style="width:unset!important;display:inline-block!important"
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onchange='updateTokenCount(document.getElementById("text"))'>
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<option value="gpt-3.5-turbo" selected>GPT-3</option>
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<option value="gpt-4">GPT-4</option>
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<option value="text-davinci-003">text-davinci-003</option>
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</select>
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</div>
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</div>
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<!-- <div class="mb-3">-->
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<!-- <div data-toggle="tooltip" data-placement="top"-->
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<!-- title='Tell the AI not to communicate with the user. If you are getting summaries that begin with things like "The user", enable this.'>-->
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<!-- <input type="checkbox" id="depersonify" name="depersonify" value="depersonify">-->
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<!-- <label for="depersonify"> De-personfiy</label>-->
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<!-- </div>-->
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<!-- </div>-->
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<div class="mb-3">
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<div data-toggle="tooltip" data-placement="top"
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title='Tell the AI be concise.'>
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<input type="checkbox" id="concise" name="concise" value="concise" checked="false">
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<label for="concise"> Be Concise</label>
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</div>
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</div>
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<hr>
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<div id="token-count" class="mb-3">Token count: 0</div>
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<div id="alert-container"></div>
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<button type="submit" id="send-btn" class="btn btn-primary">Summarize</button>
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<div class="lds-dual-ring" id="spinner" style="display:none"></div>
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</div>
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</form>
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<h2 class="my-4">Summary:</h2>
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<div id="summary" class="border rounded p-3"></div>
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</div>
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<script>
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// TODO: same model and token logic as backend
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const MAX_TOKENS = 8100;
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const SERVER_URL = "http://127.0.0.1:5000";
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function debounce(func, wait) {
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let timeout;
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return function (...args) {
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const context = this;
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clearTimeout(timeout);
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timeout = setTimeout(() => func.apply(context, args), wait);
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};
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}
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function showAlert(message, type = "danger") {
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const alertContainer = document.getElementById("alert-container");
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const alertElement = document.createElement("div");
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alertElement.className = `alert alert-${type} alert-dismissible fade show`;
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alertElement.textContent = message;
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const closeButton = document.createElement("button");
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closeButton.type = "button";
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closeButton.className = "btn-close";
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closeButton.setAttribute("data-bs-dismiss", "alert");
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closeButton.setAttribute("aria-label", "Close");
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alertElement.appendChild(closeButton);
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alertContainer.appendChild(alertElement);
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}
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function clearAlerts() {
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const alertContainer = document.getElementById("alert-container");
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alertContainer.innerHTML = "";
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}
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const updateTokenCount = debounce(async (e) => {
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const text = document.getElementById("text").value;
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if (text == "" || text.length == 0 || text == null) {
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return;
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}
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const response = await fetch(SERVER_URL + "/count_tokens", {
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method: "POST",
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body: new FormData(document.getElementById("text").form),
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});
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if (response.ok) {
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const data = await response.json();
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document.getElementById("token-count").textContent = `Token count: ${data.token_count}`;
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} else {
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showAlert("Error: Unable to count tokens");
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}
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}, 500);
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document.getElementById("text").addEventListener("input", updateTokenCount);
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document.getElementById("summarize-form").addEventListener("submit", async (e) => {
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e.preventDefault();
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clearAlerts();
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document.getElementById("send-btn").disabled = true;
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document.getElementById("spinner").style.display = 'inline-block';
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const text = document.getElementById("text").value;
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const tokenCount = parseInt(document.getElementById("token-count").textContent.split(" ")[2]);
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if (tokenCount > MAX_TOKENS) {
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showAlert("Error: Text is too long. Please reduce the token count.");
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return;
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}
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const response = await fetch(SERVER_URL + "/summarize", {
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method: "POST",
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body: new FormData(e.target),
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});
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if (response.ok) {
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const data = await response.json();
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document.getElementById("summary").textContent = data.summary;
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} else {
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showAlert("Error: Unable to summarize text");
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}
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document.getElementById("send-btn").disabled = false;
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document.getElementById("spinner").style.display = 'none';
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});
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function init() {
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document.getElementById("text").value = "";
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document.getElementById("concise").checked = false;
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document.getElementById("model").value = "gpt-3.5-turbo";
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}
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window.onload = init;
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</script>
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</body>
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</html> |