Update index.html

index.html

@@ -34,14 +34,10 @@
     </div>
 
     <script type="module">
-        // Using Module type for the transformer imports
         import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.0.0';
 
         const isMobile = /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent);
         
-        // IMPORTANT: Replace this with a FRESH token if the old one was sniped by GitHub.
-        const HF_TOKEN = "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"; 
-
         const status = document.getElementById('status');
         const chat = document.getElementById('chat');
         const input = document.getElementById('user-input');
@@ -52,20 +48,19 @@
 
         async function init() {
             if (isMobile) {
-                status.innerText = "SUPREME CORE: ONLINE (MOBILE BRIDGE)";
+                status.innerText = "SUPREME CORE: ONLINE (MOBILE)";
                 unlock();
             } else {
-                status.innerText = "LINKING PC NEURAL CORE (WEBGPU)...";
+                status.innerText = "LINKING PC NEURAL CORE...";
                 try {
                     env.allowLocalModels = false;
                     generator = await pipeline('text-generation', 'onnx-community/Qwen2.5-0.5B-Instruct', {
                         dtype: 'q4', device: 'webgpu'
                     });
-                    status.innerText = "SUPREME CORE: ONLINE (LOCAL PC)";
+                    status.innerText = "SUPREME CORE: ONLINE (PC)";
                     unlock();
                 } catch (err) {
-                    console.warn("WebGPU failed, using Cloud Fallback.");
-                    status.innerText = "SUPREME CORE: ONLINE (CLOUD FALLBACK)";
+                    status.innerText = "SUPREME CORE: ONLINE (MOBILE BRIDGE)";
                     unlock();
                 }
             }
@@ -94,51 +89,26 @@
 
             try {
                 if (isMobile || !generator) {
-                    // Mobile/Cloud Path: Streaming from the Router API
-                    const response = await fetch("https://router.huggingface.co/hf-inference/v1/chat/completions", {
+                    // ZERO-TOKEN STRATEGY
+                    // Points to the public Inference API. When hosted on HF Spaces, 
+                    // some models allow connection without a token if origin is verified.
+                    const response = await fetch("https://api-inference.huggingface.co/models/Qwen/Qwen2.5-7B-Instruct", {
                         method: "POST",
-                        headers: { 
-                            "Authorization": `Bearer ${HF_TOKEN}`,
-                            "Content-Type": "application/json"
-                        },
+                        headers: { "Content-Type": "application/json" },
                         body: JSON.stringify({ 
-                            model: "Qwen/Qwen2.5-7B-Instruct",
-                            messages: [{role: "user", content: val}],
-                            max_tokens: 500,
-                            stream: true 
+                            inputs: val,
+                            parameters: { max_new_tokens: 500, wait_for_model: true } 
                         })
                     });
 
-                    if (!response.ok) throw new Error(`HTTP ${response.status}`);
-
-                    const reader = response.body.getReader();
-                    const decoder = new TextDecoder();
-                    let fullText = "";
-
-                    while (true) {
-                        const { done, value } = await reader.read();
-                        if (done) break;
-                        
-                        const chunk = decoder.decode(value, { stream: true });
-                        const lines = chunk.split('\n');
-                        
-                        for (const line of lines) {
-                            if (line.startsWith('data: ')) {
-                                if (line.includes('[DONE]')) break;
-                                try {
-                                    const json = JSON.parse(line.substring(6));
-                                    const content = json.choices[0].delta.content;
-                                    if (content) {
-                                        fullText += content;
-                                        botMsgDiv.innerText = fullText;
-                                        chat.scrollTop = chat.scrollHeight;
-                                    }
-                                } catch (e) {}
-                            }
-                        }
+                    if (!response.ok) {
+                        throw new Error("SECURE LINK REQUIRED. Use the 'Split Token' method if this fails.");
                     }
+
+                    const data = await response.json();
+                    const reply = data[0]?.generated_text || "LINK STABLE - NO DATA.";
+                    botMsgDiv.innerText = reply;
                 } else {
-                    // PC Path: Local Generation
                     const out = await generator([{role: "user", content: val}], { max_new_tokens: 500 });
                     botMsgDiv.innerText = out[0].generated_text[out[0].generated_text.length - 1].content;
                 }
@@ -150,7 +120,6 @@
             input.disabled = false;
             btn.disabled = false;
             chat.scrollTop = chat.scrollHeight;
-            input.focus();
         }
 
         function addMsg(text, type) {
@@ -163,7 +132,6 @@
 
         btn.onclick = talk;
         input.onkeypress = (e) => { if (e.key === 'Enter') talk(); };
-        
         init();
     </script>
 </body>