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Add LLM Inference sample for Web
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schmidt-sebastian authored Mar 6, 2024
2 parents d379c85 + 66ed93b commit 76ee917
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19 changes: 19 additions & 0 deletions examples/llm_inference/js/README.md
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# MediaPipe LLM Inference task for web

## Overview

This web sample demonstrates how to use the LLM Inference API to run common text-to-text generation tasks like information retrieval, email drafting, and document summarization, on web.


## Prerequisites

* A browser with WebGPU support (such as Chrome, Edge or Opera).

## Running the demo

Follow the following instructions to run the sample on your device:
1. Make a folder for the task, named as `llm_task`, and copy the [index.html](https://github.com/googlesamples/mediapipe/blob/main/examples/llm_inference/js/index.html) and [index.js](https://github.com/googlesamples/mediapipe/blob/main/examples/llm_inference/js/index.js) files into your `llm_task` folder.
2. Download one of the [compatible models](https://developers.google.com/mediapipe/solutions/genai/llm_inference#models) that you want to run, into the `llm_task` folder.
3. In your `index.js` file, update []`modelFileName`](https://github.com/googlesamples/mediapipe/blob/main/examples/llm_inference/js/index.js#L23) with your model file's name.
4. Run `python3 -m http.server 8000` under the `llm_task` folder to host the three files.
5. Open `localhost:8000` in Chrome. Then the button on the webpage will be enabled when the task is ready (~10 seconds).
30 changes: 30 additions & 0 deletions examples/llm_inference/js/index.html
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<!-- Copyright 2024 The MediaPipe Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. -->

<!doctype html>
<html lang="en">
<head>
<title>LLM Inference Web Demo</title>
</head>
<body>
Input:<br />
<textarea id="input" style="height: 300px; width: 600px"></textarea><br />
<input type="button" id="submit" value="Get Response" disabled /><br />
<br />
Result:<br />
<textarea id="output" style="height: 300px; width: 600px"></textarea>
<script src="https://cdn.jsdelivr.net/npm/@mediapipe/tasks-genai/genai_bundle.js"></script>
<script type="module" src="index.js"></script>
</body>
</html>
65 changes: 65 additions & 0 deletions examples/llm_inference/js/index.js
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// Copyright 2024 The MediaPipe Authors.

// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at

// http://www.apache.org/licenses/LICENSE-2.0

// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// ---------------------------------------------------------------------------------------- //

import {FilesetResolver, LlmInference} from 'https://cdn.jsdelivr.net/npm/@mediapipe/tasks-genai';

const input = document.getElementById('input');
const output = document.getElementById('output');
const submit = document.getElementById('submit');

const modelFileName = 'llm.tflite'; /* Update the file name */

/**
* Display tokens to the output text box.
*/
function displayNewTokens(tokens, complete) {
output.textContent += tokens;

if (complete) {
if (!output.textContent) {
output.textContent = 'Result is empty';
}
submit.disabled = false;
}
}

/**
* Main function to run LLM Inference.
*/
async function runDemo() {
const genaiFileset = await FilesetResolver.forGenAiTasks(
'https://cdn.jsdelivr.net/npm/@mediapipe/tasks-genai/wasm');
let llmInference;

submit.onclick = () => {
output.textContent = '';
submit.disabled = true;
llmInference.generateResponse(input.value, displayNewTokens);
};

submit.value = 'Loading the model...'
LlmInference
.createFromModelPath(genaiFileset, modelFileName)
.then(llm => {
llmInference = llm;
submit.disabled = false;
submit.value = 'Get Response'
}).catch(() =>{
alert('Failed to initialize the task.');
});
}

runDemo();

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