| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>ChatBot</title> | |
| <link href="https://cdn.jsdelivr.net/npm/daisyui@3.9.4/dist/full.css" rel="stylesheet" type="text/css" /> | |
| <script src="https://cdn.tailwindcss.com"></script> | |
| </head> | |
| <body class="bg-gray-100 h-screen flex items-center justify-center"> | |
| <div class="bg-white p-8 rounded-lg shadow-lg w-full max-w-md"> | |
| <h1 class="text-2xl font-bold mb-4 text-center">Your Friendly ChatBot</h1> | |
| <div id="chatbox" class="chat chat-start h-96 overflow-y-auto mb-4"></div> | |
| <div class="flex"> | |
| <input type="text" id="inputMessage" placeholder="Type your message here..." class="input input-bordered flex-grow"> | |
| <button id="sendMessage" class="btn btn-primary ml-2">Send</button> | |
| </div> | |
| </div> | |
| <script> | |
| var inputMessage = document.getElementById("inputMessage"); | |
| var sendMessage = document.getElementById("sendMessage"); | |
| var chatbox = document.getElementById("chatbox"); | |
| sendMessage.addEventListener("click", function() { | |
| var message = inputMessage.value; | |
| if (message.trim() !== "") { | |
| sendMessageToChat(message, "user"); | |
| inputMessage.value = ""; | |
| fetchResponse(message) | |
| .then(response => { | |
| sendMessageToChat(response, "assistant"); | |
| }) | |
| .catch(error => { | |
| console.error("Error fetching response:", error); | |
| sendMessageToChat("Sorry, I'm having trouble understanding you right now.", "assistant"); | |
| }); | |
| } | |
| }); | |
| function sendMessageToChat(message, role) { | |
| var messageElement = document.createElement("div"); | |
| messageElement.classList.add("chat-bubble", role === "user" ? "chat-bubble-primary" : "chat-bubble-secondary"); | |
| messageElement.innerHTML = "<p><strong>" + role + ":</strong> " + message + "</p>"; | |
| chatbox.appendChild(messageElement); | |
| chatbox.scrollTop = chatbox.scrollHeight; | |
| } | |
| async function fetchResponse(message) { | |
| const response = await fetch( | |
| "https://api-inference.huggingface.co/models/google/flan-t5-xxl", | |
| { | |
| method: "POST", | |
| headers: { | |
| "Content-Type": "application/json", | |
| "Authorization": "Bearer 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" | |
| }, | |
| body: JSON.stringify({ | |
| inputs: message, | |
| }), | |
| } | |
| ); | |
| if (!response.ok) { | |
| throw new Error("Request failed with status " + response.status); | |
| } | |
| const data = await response.json(); | |
| return data[0].generated_text; | |
| } | |
| </script> | |
| </body> | |
| </html> |