From ddba4b472936043967260c2fde0b2d736d8e5184 Mon Sep 17 00:00:00 2001 From: izzalDev <92254049+izzalDev@users.noreply.github.com> Date: Tue, 20 Aug 2024 14:48:48 +0700 Subject: [PATCH] chore: improve UI and implements all functionality Signed-off-by: izzalDev <92254049+izzalDev@users.noreply.github.com> --- web/index.html | 32 ++++++++++++++++------------ web/public/background.jpg | Bin 0 -> 1862981 bytes web/src/main.ts | 43 +++++++++++++++----------------------- 3 files changed, 36 insertions(+), 39 deletions(-) create mode 100644 web/public/background.jpg diff --git a/web/index.html b/web/index.html index 91f6c45..4827f81 100644 --- a/web/index.html +++ b/web/index.html @@ -8,47 +8,53 @@ Iris Classification -
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// Membuat sesi baru dan memuat model ONNX tertentu. - const session: ort.InferenceSession = await ort.InferenceSession.create( - "./model.onnx", - ); + const session: ort.InferenceSession = await ort.InferenceSession.create("./model.onnx"); - // Menyiapkan input. Tensor memerlukan TypedArray yang sesuai sebagai data. - const input: ort.Tensor = new ort.Tensor( - "float32", - [5.1, 3.5, 1.4, 0.2], - [1, 4] - ); + form.addEventListener("submit", async (event) => { + event.preventDefault(); + // Memasukkan input dan menjalankan model + const output: ort.InferenceSession.OnnxValueMapType = await session.run({X: new ort.Tensor( + "float32", + formInput.map(input => parseFloat(input.value)), + [1, 4] + )}); - // Memasukkan input dan menjalankan model - const output: ort.InferenceSession.OnnxValueMapType = await session.run({ - X: input, + result.innerText = output.label.data[0].toString(); }); - - // Membaca hasil dari output - const label: ort.Tensor = output.label; - const probabilities: ort.Tensor = output.probabilities; - - const maxProbability: number = Math.max( - ...(probabilities.data as Float32Array) - ); - - console.log( - `Label: ${label.data} Probabilitas Maksimum: ${maxProbability * 100}%` - ); } catch (e) { - document.write(`failed to inference ONNX model: ${e}.`); + document.write(`Error: ${e}.`); } } -main(); +document.addEventListener("DOMContentLoaded", main);

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