up.

index.html

@@ -270,18 +270,24 @@
                 }
                 
                 const model = modelSelect.value;
-                const response = await hfClient.conversational({
-                    model: model,
-                    inputs: {
-                        text: message,
-                        past_user_inputs: [],
-                        generated_responses: []
-                    }
+                // Build chat history for context
+                const history = getConversationHistory().map(msg => ({
+                    role: msg.role,
+                    content: msg.content
+                }));
+                history.push({ role: 'user', content: message });
+
+                const response = await hfClient.chatCompletion({
+                    model,
+                    messages: history,
+                    max_tokens: 1024
                 });
-                
-                updateMessage(loadingId, response.generated_text);
+
+                const assistantMsg = response.choices?.[0]?.message?.content || '[No response]';
+                updateMessage(loadingId, assistantMsg);
                 chatMessages.scrollTop = chatMessages.scrollHeight;
-                tokenCounter.textContent = `${response.conversation.generated_responses[0].length} tokens`;
+                // optional simple token count
+                tokenCounter.textContent = `${assistantMsg.split(/\s+/).length} tokens`;
                 
             } catch (error) {
                 console.error("Error:", error);