AutumnSE/oldformbackup.html at master · DART-Edge-AI/AutumnSE · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Autumn NLP Core Algorithm</title>

    <style>
        /* Your existing CSS styles here */
        body {
    //background-color: indigo;
    color: white;
    font-weight: bold;
    display: flex;
    flex-direction: column;
    justify-content: flex-start;  /* Adjusted from center to flex-start */
    height: 100vh;
    margin: 0;
    font-family: Arial, sans-serif;
    margin-top: 100px; /* Added padding from the top */
    margin-bottom: 100px;
}
.uibody {
  display: flex;
  flex-direction: column;
  align-items: center;
}
        .chat-container {
            display: flex;
            flex-direction: column;
            align-items: center;
            width: 600px;
            margin-top: 20px;
            border-radius: 5px;
            box-shadow: 0 0 6px rgba(0, 0, 0, 0.5);
            cursor: pointer;
            padding: 20px;
        }

        .chat-box {
            width: 90%;
            height: 300px;
            overflow-y: scroll;
            padding: 10px;
            margin-bottom: 10px;
            box-shadow: 0 0 6px rgba(0, 0, 0, 0.5);
            cursor: pointer;
        }

        .chat-message {
            padding: 5px 10px;
            border-radius: 5px;
            margin: 5px 0;
            max-width: 80%;
            word-wrap: break-word;
        }

        .user-message {
            color: white;
            background-color: #555;
        }

        .bot-message {
            color: white;
            background-color: #007bff;
        }

        #chat-input {
            width: 80%;
            padding: 5px;
            border: 1px solid #ccc;
            border-radius: 5px;
        }

        .decode-chat-container {
            margin-top: 20px; /* Adjusted margin-top for separation */
            display: flex;
            flex-direction: column;
            align-items: center;
        }

        .button-container {
            display: flex;
            justify-content: space-between;
            width: 100%;
        }

        /* Button styling */
        #chat-button-encode,
        #chat-button-receive,
        #chat-button-receive-full,
        #chat-button-respond {
            padding: 5px 10px;
            border: none;
            border-radius: 5px;
            background-color: #007bff; /* Blue color */
            color: white;
            cursor: pointer;
        }

        /* Additional styling for NLP Generation Core message box */
        #chat-output-core {
            width: 90%;
            height: 300px; /* Adjust the height according to your preference */
            overflow-y: auto;
            padding: 10px;
            box-shadow: 0 0 6px rgba(0, 0, 0, 0.5);
            margin-bottom: 20px;
        }

        #chat-input-core {
            width: 90%;
            padding: 10px;
            border: 1px solid #ccc;
            border-radius: 5px;
            margin-bottom: 10px;
        }

        /* Additional styling for checkbox stack */
        #checkbox-stack {
            width: 90%;
            display: flex;
            flex-direction: column;
            align-items: left;
            justify-content: space-between;
            margin-left: 100px;
        }

        .checkbox-label {
            margin-right: 20px;
            font-size: 16px;
        }

        .checkbox-item {
            margin-right: 10px;
        }

        /* Additional styling for connection variables */
        #connections-stack {
            width: 90%;
            display: flex;
            flex-direction: column;
            align-items: flex-start;
            justify-content: space-between;
            margin-left: 100px;
        }

        .connection-label {
            margin-right: 20px;
            font-size: 16px;
        }

        .connection-item {
            margin-bottom: 5px;
        }
        /* Additional styling for dropdown menus */
        .dropdown-menu {
            margin-top: 5px;
        }

        .dropdown-item {
            padding: 5px;
        }

        /* New style for algorithm optimal state */
        #algorithm-optimal-state {
            text-align: center;
            margin-top: 20px;
            font-size: 18px;
        }
        .logo4 {
          width: 800px;
        }
        /* Existing CSS styles remain unchanged */

/* Button styling for export button */
#export-button {
    padding: 5px 10px;
    border: none;
    border-radius: 5px;
    background-color: #007bff; /* Blue color */
    color: white;
    cursor: pointer;
}

/* Additional styling for NLP Generation Core message box */
#chat-output-core {
    width: 90%;
    height: 300px; /* Adjust the height according to your preference */
    overflow-y: auto;
    padding: 10px;
    box-shadow: 0 0 6px rgba(0, 0, 0, 0.5);
    margin-bottom: 20px;
}

    </style>
</head>
<body>

<div class="uibody">

      <a href="https://github.com/radicaldeepscale/Autumn/blob/main/Autumn.pdf" target="_blank"><img src="https://static.wixstatic.com/media/2451db_77cfc6e704874bd2b0c58a6585966e47~mv2.png"
                           alt="Logo4" class="logo4"></a>


    <!-- New algorithm optimal state section -->
        <div id="algorithm-optimal-state">
        <span>Algorithm Optimal State: </span>
        <label for="optimal-in" class="checkbox-item"><input type="checkbox" id="optimal-in"> In</label>
        <label for="optimal-out" class="checkbox-item"><input type="checkbox" id="optimal-out"> Out</label>
    </div>

    <div id="encode-chat" class="chat-container">
        <h1>Encode</h1>
        <div class="chat-box" id="chat-output-encode"></div>
        <br>
        <input type="text" id="chat-input-encode" placeholder="Type your message here...">
        <br>
        <button id="chat-button-encode">Send</button>
    </div>
    <br>
<div id="connections-stack">
    <div>
        <div class="connection-label">Connections:</div>
        <label for="e1" class="connection-item">
            <input type="checkbox" id="e1"> Encode Send
            <!-- Updated dropdown menu for Encode Send logic -->
            <select class="dropdown-menu" id="dropdown-e1" multiple>
                <option value="receive">Receive</option>
                <option value="respond">Respond</option>
            </select>
        </label>
        <br>
        <label for="n1" class="connection-item">
            <input type="checkbox" id="n1"> Generation DATA
            <!-- Updated dropdown menu for Generation DATA logic -->
            <select class="dropdown-menu" id="dropdown-n1" multiple>
                <option value="receiveFullArray">Receive Full Array</option>
                <option value="respond">Respond</option>
            </select>
        </label>
        <br>
        <label for="d1" class="connection-item">
            <input type="checkbox" id="d1"> Receive
            <!-- Updated dropdown menu for Receive logic -->
            <select class="dropdown-menu" id="dropdown-d1" multiple>
                <option value="encodeSend">Encode Send</option>
            </select>
        </label>
        <br>
        <label for="d2" class="connection-item">
            <input type="checkbox" id="d2"> Receive Full Array
            <!-- Updated dropdown menu for Receive Full Array logic -->
            <select class="dropdown-menu" id="dropdown-d2" multiple>
                <option value="encodeSend">Encode Send</option>
            </select>
        </label>
        <br>
        <label for="d3" class="connection-item">
            <input type="checkbox" id="d3"> Respond
            <!-- Updated dropdown menu for Respond logic -->
            <select class="dropdown-menu" id="dropdown-d3" multiple>
                <option value="paragraphInputField">Paragraph Input Field</option>
            </select>
        </label>
        <!-- Repeat the above structure for other connection variables -->
    </div>
</div>
    <div class="chat-container" style="margin-top: 20px;">
        <h1>NLP Generation Core</h1>
        <div class="chat-box" id="chat-output-core" contenteditable="true"></div>
<button id="export-button" class="chat-button">Export Model (*.para)</button>


    </div>
    <br>
    <br>

    <div id="checkbox-stack">
        <div class="checkbox-label">Order of Natural Tools:</div>
        <label for="maze" class="checkbox-item"><input type="checkbox" id="maze"> Maze, First</label>
        <label for="puzzle" class="checkbox-item"><input type="checkbox" id="puzzle"> Puzzle, Second</label>
        <label for="envelope" class="checkbox-item"><input type="checkbox" id="envelope"> Envelope, Third</label>
        <label for="hammer" class="checkbox-item"><input type="checkbox" id="hammer"> Hammer, Fourth</label>
        <label for="stick" class="checkbox-item"><input type="checkbox" id="stick"> Stick, Fifth</label>
        <label for="knife" class="checkbox-item"><input type="checkbox" id="knife"> Knife, Sixth</label>
        <label for="scissors" class="checkbox-item"><input type="checkbox" id="scissors"> Scissors, Seventh</label>
    </div>
    <br>

    <div id="decode-chat" class="chat-container decode-chat-container">
        <h1>Decode</h1>
        <div class="chat-box" id="chat-output-decode"></div>
        <br>
        <input type="text" id="chat-input-decode" placeholder="Type your message here...">
        <br>
        <div class="button-container">
            <button id="chat-button-receive">Receive</button>
            <button id="chat-button-receive-full">Receive Full Array</button>
            <button id="chat-button-respond">Respond</button>
        </div>
    </div>

</div>

<script>


let a = []; // Array to store encoded messages
    let b = []; // Array to store decoded messages
    const n = 42; // Set n to a constant value, you can change this as needed

    function encodeString(input) {
        let encoded = "";
        for (let i = input.length - 1; i >= 0; i--) {
            let encodedChar = input.charCodeAt(i) + Math.sqrt(Math.pow(i, 2)) - n; // Adjusted encode logic
            encoded = String.fromCharCode(encodedChar) + encoded;
        }
        a.unshift(encoded); // Store the encoded message at the beginning of array a
        return encoded;
    }

    function decodeString(input) {
        let decoded = "";
        for (let i = 0; i < input.length; i++) {
            let decodedChar = input.charCodeAt(i) - Math.sqrt(Math.pow(i, 2)) + n; // Adjusted decode logic
            decoded += String.fromCharCode(decodedChar);
        }
        b.push(decoded); // Store the decoded message in array b
        return decoded;
    }

    // Function to append a message to the NLP Generation Core
    function appendToCoreMessage(message) {
        document.getElementById("chat-output-core").innerHTML += `<div class="user-message chat-message">${message}</div>`;
    }

    // Rest of your code remains unchanged

    function displayUserMessage(userMessage, outputId) {
        document.getElementById(outputId).innerHTML += `<div class="user-message chat-message">${userMessage}</div>`;
    }

    function processUserInput(encode, inputId, outputId, coreUpdate) {
  let inputElement = document.getElementById(inputId);

  if (inputElement) {
    let userMessage = inputElement.value.trim();
    inputElement.value = "";

    // Display User's message in the chat
    displayUserMessage(userMessage, outputId);

    // Append the plain message to arrays a or b without encoding/decoding
    if (encode) {
      a.push(userMessage); // Store the message in array a
    } else {
      b.push(userMessage); // Store the message in array b
    }

    // Append to NLP Generation Core if coreUpdate is true
    if (coreUpdate) {
      appendToCoreMessage(userMessage); // Append plain message to NLP Generation Core
    }
  }
}


    // Existing JavaScript code remains unchanged
let chatButtonEncode = document.getElementById("chat-button-encode");
if (chatButtonEncode) {
  chatButtonEncode.addEventListener("click", function() {
    let encodeInput = document.getElementById("chat-input-encode");
    let message = encodeInput.value.trim();
    encodeInput.value = "";
    a.push(message); // Push the message into array a

    let encodeOutput = document.getElementById("chat-output-encode");
    encodeOutput.innerHTML += `<div class="user-message chat-message">${message}</div>`;

    let decodeOutput = document.getElementById("chat-output-decode");
    decodeOutput.innerHTML += `<div class="user-message chat-message">${message}</div>`;
  });
}
let chatButtonRespond = document.getElementById("chat-button-respond");
    if (chatButtonRespond) {
        chatButtonRespond.addEventListener("click", function () {
            let lastAllocation = b.pop(); // Remove and get the last element of array b
            if (lastAllocation !== undefined) {
                document.getElementById("chat-output-encode").innerHTML += `<div class="bot-message chat-message">${lastAllocation}</div>`;
                appendToCoreMessage(lastAllocation); // Append responded message to NLP Generation Core Algorithm
            }
        });
    }
let chatButtonReceive = document.getElementById("chat-button-receive");
if (chatButtonReceive) {
  chatButtonReceive.addEventListener("click", function() {
    if (a.length > 0) {
      let lastMessage = a[a.length - 1]; // Get the last message correctly
      let decodeOutput = document.getElementById("chat-output-decode");
      decodeOutput.innerHTML += `<div class="bot-message chat-message">${lastMessage}</div>`;
    }
  });
}

let chatButtonReceiveFull = document.getElementById("chat-button-receive-full");
if (chatButtonReceiveFull) {
    chatButtonReceiveFull.addEventListener("click", function() {
        let decodeOutput = document.getElementById("chat-output-decode");
        // Removed the line that clears the decodeOutput.innerHTML

        for (let i = 0; i < a.length; i++) {
            decodeOutput.innerHTML += `<div class="bot-message chat-message">${a[i]}</div>`;
        }
    });
}
    // Additional logic for handling connection checkboxes
    function handleConnectionCheckboxChange(connectionId) {
        let checkbox = document.getElementById(connectionId);
        if (checkbox) {
            if (checkbox.checked) {
                // Logic for when the checkbox is checked
                let connectionType = checkbox.id.charAt(0); // Extract the first character to determine the type

                switch (connectionType) {
                    case 'e':
                        processUserInput(true, "chat-input-encode", "chat-output-encode", true);
                        break;
                    case 'd':
                        processUserInput(false, "chat-input-decode", "chat-output-decode", true);
                        break;
                    case 'n':
                        // NLP can only receive, so handle accordingly
                        let inputElement = document.getElementById("chat-input-core");
                        if (inputElement) {
                            let userMessage = inputElement.value.trim();
                            processUserInput(false, "chat-input-core", "chat-output-core", true);
                            // Additional logic specific to NLP receiving
                        }
                        break;
                    default:
                        // Handle other types or add specific logic
                        break;
                }
            } else {
                // Logic for when the checkbox is unchecked
            }
        }
    }

    // Event listeners for connection checkboxes
    let connectionCheckboxes = document.querySelectorAll('.connection-item input[type="checkbox"]');
    connectionCheckboxes.forEach(function (checkbox) {
        checkbox.addEventListener("change", function () {
            handleConnectionCheckboxChange(checkbox.id);
        });
    });

    // Additional logic for handling dropdown menu selections
    function handleDropdownChange(connectionId) {
        let dropdown = document.getElementById("dropdown-" + connectionId);
        if (dropdown) {
            let selectedOptions = Array.from(dropdown.selectedOptions).map(option => option.value);
            console.log(`Selected options for ${connectionId}: ${selectedOptions}`);
            // Add your logic to handle selected options
        }
    }

 function exportParagraphToFile() {
    let paragraphInput = document.getElementById("chat-output-core");

    if (paragraphInput) {
        let content = paragraphInput.innerText;
        let encodedContent = encodeURIComponent(content);
        let blob = new Blob([encodedContent], { type: "text/plain" });
        let a = document.createElement("a");
        a.href = URL.createObjectURL(blob);
        a.download = "autumnnlp.para";
        a.click();
    }
}
// Event listener for the export button
let exportButton = document.getElementById("export-button");
if (exportButton) {
    exportButton.addEventListener("click", function () {
        exportParagraphToFile();
    });
}

    // Event listeners for dropdown menus
    let dropdowns = document.querySelectorAll('.dropdown-menu');
    dropdowns.forEach(function (dropdown) {
        dropdown.addEventListener("change", function () {
            let connectionId = dropdown.id.replace("dropdown-", "");
            handleDropdownChange(connectionId);
        });
    });

</script>
</body>
</html>