Update index.html

index.html

@@ -23,7 +23,7 @@
             width: 100%;
             text-align: center;
         }
-        h1 { color: #1a73e8; margin-top: 0; }
+        h1 { color: #202124; margin-top: 0; }
         select, input, button {
             width: 100%;
             padding: 12px;
@@ -34,19 +34,19 @@
             font-size: 16px;
         }
         button {
-            background-color: #1a73e8;
+            background-color: #34a853;
             color: white;
             border: none;
             font-weight: bold;
             cursor: pointer;
         }
-        button:hover { background-color: #1557b0; }
+        button:hover { background-color: #2b8c44; }
         #output {
             margin-top: 20px;
             padding: 15px;
             background: #f8f9fa;
             border-radius: 8px;
-            border-left: 5px solid #1a73e8;
+            border-left: 5px solid #34a853;
             text-align: left;
             min-height: 50px;
             white-space: pre-wrap;
@@ -83,37 +83,23 @@ async function askAI() {
     outputDiv.innerText = "🤖 Thinking...";
 
     try {
-        // Connects to a completely public, open-tier model endpoint (no keys or age check needed)
-        const response = await fetch("https://huggingface.co", {
+        // Send request to an open, tokenless text-generation network
+        const response = await fetch("https://pollinations.ai", {
             method: "POST",
             headers: { "Content-Type": "application/json" },
             body: JSON.stringify({
-                inputs: `<|im_start|>system\n${systemPrompt}<|im_end|>\n<|im_start|>user\n${input}<|im_end|>\n<|im_start|>assistant\n`,
-                parameters: { max_new_tokens: 300 }
+                messages: [
+                    { role: "system", content: systemPrompt },
+                    { role: "user", content: input }
+                ],
+                model: "openai"
             })
         });
 
-        const data = await response.json();
-        
-        // Pick out the raw text answer generated by the model
-        let aiText = "";
-        if (Array.isArray(data) && data[0]?.generated_text) {
-            aiText = data[0].generated_text;
-        } else if (data?.generated_text) {
-            aiText = data.generated_text;
-        } else {
-            aiText = "The AI server is slightly busy. Try tapping send again!";
-        }
-
-        // Clean up formatting tags if they appear in the result
-        if (aiText.includes("<|im_start|>assistant\n")) {
-            aiText = aiText.split("<|im_start|>assistant\n").pop();
-        }
-        aiText = aiText.replace("<|im_end|>", "").replace("assistant", "");
-        
+        const aiText = await response.text();
         outputDiv.innerText = aiText.trim();
     } catch (error) {
-        outputDiv.innerText = "Error connecting to AI. Tap send one more time!";
+        outputDiv.innerText = "The public server is busy. Tap send one more time!";
     }
 }
 </script>