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https://huggingface.co/2796gauravc/functiongemma-mlc/resolve/main/example.html
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2.46 kB
| <html> | |
| <head> | |
| <title>FunctionGemma Physics Demo</title> | |
| <script type="module"> | |
| import * as webllm from "https://esm.run/@mlc-ai/web-llm"; | |
| const appConfig = { | |
| model_list: [ | |
| { | |
| model: "https://huggingface.co/2796gauravc/functiongemma-mlc", | |
| model_id: "functiongemma-physics", | |
| // Use official Gemma WASM (compatible) | |
| model_lib: "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/gemma-2b-it-q4f16_1-ctx4k_cs1k-webgpu.wasm" | |
| } | |
| ] | |
| }; | |
| async function initModel() { | |
| const statusDiv = document.getElementById("status"); | |
| statusDiv.textContent = "Loading model..."; | |
| try { | |
| const engine = await webllm.CreateMLCEngine( | |
| "functiongemma-physics", | |
| { | |
| appConfig, | |
| initProgressCallback: (progress) => { | |
| statusDiv.textContent = progress.text; | |
| } | |
| } | |
| ); | |
| statusDiv.textContent = "Model loaded! Type a message."; | |
| document.getElementById("send").onclick = async () => { | |
| const input = document.getElementById("input").value; | |
| const output = document.getElementById("output"); | |
| output.textContent = "Thinking..."; | |
| const response = await engine.chat.completions.create({ | |
| messages: [{ role: "user", content: input }], | |
| stream: false | |
| }); | |
| output.textContent = response.choices[0].message.content; | |
| }; | |
| } catch (error) { | |
| statusDiv.textContent = "Error: " + error.message; | |
| } | |
| } | |
| window.onload = initModel; | |
| </script> | |
| </head> | |
| <body> | |
| <h1>FunctionGemma Physics Game Assistant</h1> | |
| <div id="status">Initializing...</div> | |
| <br> | |
| <input type="text" id="input" placeholder="Ask about physics..." style="width:400px"> | |
| <button id="send">Send</button> | |
| <br><br> | |
| <div id="output" style="border:1px solid #ccc; padding:10px; min-height:100px;"></div> | |
| </body> | |
| </html> | |