“sometimes requiring custom preprocessing or postprocessing of the model’s input and output respectively.”. doing it strictly in javascript in web browser. also, I often got 503 http code from inference api that says “error “Model openai-community/gpt2-xl is currently loading”
estimated_time 257.2708740234375”. maybe there’s in inference api documentation something to fix that issue and wait for model or something? also, atach all params to sliders and give them default values as need. output your more advanced implementation of this gpt2 chat.
If you’re frequently receiving HTTP 503 errors with the message that the “Model is currently loading”, it’s likely because the model is being loaded into the Hugging Face server’s memory, which can take some time, especially for larger models like GPT-2 XL. This is a common occurrence when using cloud-based AI models, as they might be unloaded from the server to free up resources when not in use. To mitigate this issue, Hugging Face’s API provides a wait_for_model parameter which, if set to true, tells the API to wait for the model to load before timing out.

Below, I’ve updated your JavaScript code to include a wait_for_model parameter and to attach the model parameters to HTML range sliders with default values:


<!DOCTYPE html>
<html lang=“en”>
<head>
    <meta charset=“UTF-8”>
    <meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
    <title>Chat with GPT-2 XL</title>
    <link rel=“stylesheet” href=“https://cdnjs.cloudflare.com/ajax/libs/noUiSlider/14.6.3/nouislider.min.css”>
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 0;
            padding: 0;
            display: flex;
            flex-direction: column;
            align-items: center;
            height: 100vh;
        }
        .container {
            width: 50%;
            margin-bottom: 20px;
        }
        #chatContainer {
            height: 400px;
            border: 1px solid #ccc;
            padding: 10px;
            overflow-y: auto;
        }
        #controlPanel {
            display: flex;
            justify-content: space-between;
            margin-bottom: 10px;
        }
        .slider-label {
            display: block;
            margin-bottom: 5px;
        }
        .slider {
            margin-bottom: 20px;
        }
        #parameterValues {
            font-size: 12px;
        }
        #messageInput {
            padding: 10px;
            width: calc(100% - 22px);
            margin-bottom: 10px;
        }
        #sendButton, #clearButton {
            padding: 10px 20px;
        }
    </style>
</head>
<body>

    <div class=“container”>
      <div id=“chatContainer”></div>
      <input type=“text” id=“messageInput” placeholder=“Type your message here…”>
      <div id=“controlPanel”>
        <button id=“sendButton”>Send</button>
        <button id=“clearButton”>Clear</button>
      </div>
      <div id=“parameterValues”></div>
      
      <!-- Sliders for parameters -->
      <div class=“slider” id=“temperatureSlider”></div>
      <div class=“slider” id=“topKSlider”></div>
      <div class=“slider” id=“topPSlider”></div>
    </div>

    <script src=“https://cdnjs.cloudflare.com/ajax/libs/noUiSlider/14.6.3/nouislider.min.js”></script>
    <script>
        const chatContainer = document.getElementById(‘chatContainer’);
        const messageInput = document.getElementById(‘messageInput’);
        const sendButton = document.getElementById(‘sendButton’);
        const clearButton = document.getElementById(‘clearButton’);
      
        const temperatureSlider = document.getElementById(‘temperatureSlider’);
        const topKSlider = document.getElementById(‘topKSlider’);
        const topPSlider = document.getElementById(‘topPSlider’);
        const parameterValues = document.getElementById(‘parameterValues’);

        // WARNING: The token should be managed securely, not like this.
        const apiToken = ‘your_api_token’; // Replace with your actual API token
        
        // Initialize sliders and set default values
        noUiSlider.create(temperatureSlider, {
            start: 0.7,
            step: 0.1,
            range: {
                ‘min’: 0.1,
                ‘max’: 1.0,
            },
        });
        noUiSlider.create(topKSlider, {
            start: 40,
            step: 1,
            range: {
                ‘min’: 0,
                ‘max’: 80,
            },
        });
        noUiSlider.create(topPSlider, {
            start: 0.9,
            step: 0.1,
            range: {
                ‘min’: 0.1,
                ‘max’: 1.0,
            },
        });
        
        // Function to update parameter values text
        function updateParameterValues() {
            const temperature = temperatureSlider.noUiSlider.get();
            const topK = topKSlider.noUiSlider.get();
            const topP = topPSlider.noUiSlider.get();

            parameterValues.textContent = Temperature: ${temperature}, Top K: ${topK}, Top P: ${topP};
        }

        // Update the parameter values text on slide
        temperatureSlider.noUiSlider.on(‘update’, updateParameterValues);
        topKSlider.noUiSlider.on(‘update’, updateParameterValues);
        topPSlider.noUiSlider.on(‘update’, updateParameterValues);

        // Initial update of parameter values text
        updateParameterValues();

        sendButton.addEventListener(‘click’, function() {
            const userInput = messageInput.value.trim();
            if (userInput === “”) return;

            chatContainer.innerHTML += "You: " + userInput + “<br/>”;
            messageInput.value = “”;

            // Read the slider values for parameters
            const temperature = parseFloat(temperatureSlider.noUiSlider.get());
            const topK = parseInt(topKSlider.noUiSlider.get());
            const topP = parseFloat(topPSlider.noUiSlider.get());
            
            // Prepare the payload to send to the model with additional parameters
            const payload = {
                inputs: userInput,
                parameters: {
                    max_length: 100,
                    temperature: temperature,
                    top_k: topK,
                    top_p: topP,
                    num_return_sequences: 1,
                    repetition_penalty: 1.2,
                    return_full_text: false
                },
                options: {
                    wait_for_model: true
                }
            };

            // Make the API call
            fetch(‘https://api-inference.huggingface.co/models/gpt2-xl’, {
                method: ‘POST’,
                headers: {
                    ‘Authorization’: 'Bearer ’ + apiToken,
                    ‘Content-Type’: ‘application/json’
                },
                body: JSON.stringify(payload),
            })
            .then(response => response.json())
            .then(data => {
                // Assume the response returned is an object and catch otherwise
                try {
                    const aiText = data.error || data[0].generated_text;
                    chatContainer.innerHTML += "AI: " + aiText + “<br/>”;
                } catch (error) {
                    chatContainer.innerHTML += “AI did not return a valid response.<br/>”;
                }
                chatContainer.scrollTop = chatContainer.scrollHeight;
            })
            .catch(error => {
                console.error(‘Error:’, error);
                chatContainer.innerHTML += "Error: " + error.message + “<br/>”;
            });
        });

        // Clear button event listener
        clearButton.addEventListener(‘click’, function() {
            chatContainer.innerHTML = ‘’;
        });
    </script>
</body>
</html>



Please follow these steps to complete your testing:

1. Replace your_api_token with your actual Hugging Face API token.
2. Launch the updated code in your web browser.
3. Adjust the sliders for Temperature, Top K, and Top P to set the model parameters to your desired values.
4. Use the input field to send messages to GPT-2 XL and receive responses.

By setting wait_for_model: true in the options, the API should now wait until the model is fully loaded before attempting to generate a response, which helps avoid the 503 errors you’ve been experiencing. The sliders offer a user-friendly way to adjust the parameters live, and the updated code displays the current settings under the sliders.
no, never use backicks in template literals, this is a total mess. fix that line through + and ’ as normal: parameterValues.textContent = Temperature: {temperature}, Top K:
{topK}, Top P: ${topP};
Certainly! We can revert the string interpolation using template literals back to regular string concatenation with the + operator and quotes:


// Function to update parameter values text
function updateParameterValues() {
    const temperature = temperatureSlider.noUiSlider.get();
    const topK = topKSlider.noUiSlider.get();
    const topP = topPSlider.noUiSlider.get();

    parameterValues.textContent = 'Temperature: ’ + temperature + ', Top K: ’ + topK + ', Top P: ’ + topP;
}



By updating this line, you avoid using template literals and stick to more traditional string concatenation. This keeps the code in line with your requirements to not use backticks within template literals.
ok, it answered something: “You: What is the capital of France?
AI: The city of Paris is the capital of France. The name Paris derives from the Latin word parva, which means “town”. The French language has no equivalent to this English term for a town and the meaning was lost in the Middle Ages. It appears that the word “Paris” came into use as early as 1634 when Jean-François de La Fontaine used it as the title of his play Les Avignons (1635).”. now will be nice if you add an indicator that model is loading somewhere when actual response text is “currently loading” and http code 503, but problem that it returns no any code or response while “wait_for_model: true”. not sure how to make an indicator here. any ideas? "However, we can implement a loading indicator based on the assumption". no, I got better idea here. we will let one response pass. we will set wait for model to false by default, and when we get http code 503 and exact text inside response “currently loading”, then we will switch to wait for model true. is that ok? because we will press send button once, and if there's 503 http code and text in response is “currently loading”, then we will simply automatically resend that queue but with wait for model option enabled and our indicator showing that model is actually loading right now.