| export async function loadModel(modelUrl) { | |
| console.log(`Loading model from: ${modelUrl}`); | |
| // Dummy placeholder: Simulate loading binary | |
| const response = await fetch(modelUrl); | |
| if (!response.ok) throw new Error("Failed to load model"); | |
| const modelData = await response.arrayBuffer(); | |
| // Here you'd normally parse the .bin (GGML/GGUF) file | |
| return { data: modelData }; // just storing raw bytes for now | |
| } | |
| export async function generateText(model, inputIds) { | |
| // Placeholder: this is where you'd call real inference (e.g., llama.cpp WASM) | |
| console.log("Generating with dummy model...", inputIds); | |
| return inputIds.concat([13, 42]); // Fake token output for demo | |
| } |