Update index.html

index.html

@@ -112,26 +112,26 @@
       const res = await fetch(path);
       if (!res.ok) throw new Error(`Failed to fetch ${path}: ${res.status}`);
       const code = await res.text();
-      const blob = new Blob([code], { type: "text/javascript" }); // ESM ok
+      const blob = new Blob([code], { type: "text/javascript" });
       const url  = URL.createObjectURL(blob);
       try {
-        return await import(url);   // <-- dynamic import of ESM
+        return await import(url);
       } finally {
         URL.revokeObjectURL(url);
       }
     }
-  
+
     // Use your local vendored file
     const T = await importVendoredModule("./assets/vendor/transformers-3.0.0.js");
-  
+
     // Pull named exports from the ESM module
     const { env, AutoTokenizer, AutoModelForCausalLM } = T;
-  
+
     // (Optional) expose for other inline modules that expect window.HF
     window.HF = { env, AutoTokenizer, AutoModelForCausalLM };
-  
+
     // ----- Backend (no cross-origin isolation) -----
-    env.localModelPath = null;
+    env.localModelPath = "";         // <— CHANGED from null to empty string
     env.allowRemoteModels = false;   // toggle to true only when using distilgpt2
     env.useBrowserCache  = true;
     env.backends.onnx.webgpu = { enabled: false };
@@ -284,7 +284,7 @@
           const p=index.get(t); if(!p) continue;
           const [x,y]=toCanvas(p.x,p.y);
           ctx.beginPath(); ctx.moveTo(bx,by); ctx.lineTo(x,y); ctx.stroke();
-          ctx.fillStyle="#9bd7ff"; ctx.fillRect(x-2,y-2,4,4);
+          ctx.fillStyle="#9bd7ff"; ctx.fillRect(x-2,y-2,4-0,4);
         }
         ctx.fillStyle="#ffd166"; ctx.beginPath(); ctx.arc(bx,by,5,0,Math.PI*2); ctx.fill();
         ctx.fillStyle="#e6f1ff"; ctx.font="12px ui-monospace, SFMono-Regular, Menlo, Consolas, monospace";
@@ -301,31 +301,24 @@
       resetProgress("Tokenizer");
       setStatus("Tokenizer: starting…");
       const base = MODELS.qwen.local_href;
-
-      // Build absolute file URLs next to your ONNX
       const tjsonURL = new URL("tokenizer.json", base).href;
       const tcfgURL  = new URL("tokenizer_config.json", base).href;
-      const smapURL  = new URL("special_tokens_map.json", base).href; // optional
-
-      // Preload exactly like Python does
+      const smapURL  = new URL("special_tokens_map.json", base).href;
       const [tokJSON, tokCfgJSON, smapJSON] = await Promise.all([
         fetch(tjsonURL).then(r => { if(!r.ok) throw new Error("tokenizer.json missing"); return r.json(); }),
         fetch(tcfgURL).then(r => { if(!r.ok) throw new Error("tokenizer_config.json missing"); return r.json(); }),
         fetch(smapURL).then(r => r.ok ? r.json() : null),
       ]);
-
-      // Provide a file map so transformers.js never tries to normalize a repo ID
       const fileMap = new Map();
       fileMap.set("tokenizer.json",        new Blob([JSON.stringify(tokJSON)], { type: "application/json" }));
       fileMap.set("tokenizer_config.json", new Blob([JSON.stringify(tokCfgJSON)], { type: "application/json" }));
       if (smapJSON) {
         fileMap.set("special_tokens_map.json", new Blob([JSON.stringify(smapJSON)], { type: "application/json" }));
       }
-
       tokenizer = await AutoTokenizer.from_pretrained("", {
         files: fileMap,
         progress_callback: onProgress,
-        local_files_only: true, 
+        local_files_only: true,
       });
     }
 
@@ -362,7 +355,7 @@
             file_name: MODELS.qwen.onnx_file,
             progress_callback: onProgress,
             config: QWEN3_CONFIG_FIX,
-            local_files_only: true, 
+            local_files_only: true,
           });
         } else {
           model = await AutoModelForCausalLM.from_pretrained(MODELS.distilgpt2.remote_repo, {