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sidra_chain_integration/src/space_exploration/project/Lynx/js/advanced_script.js
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// Import required libraries | ||
import { TensorFlow } from '@tensorflow/tfjs'; | ||
import { React, useState, useEffect } from 'react'; | ||
import { axios } from 'axios'; | ||
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// Define constants | ||
const API_URL = 'https://api.example.com'; | ||
const MODEL_URL = 'https://model.example.com'; | ||
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// Define the advanced script component | ||
const AdvancedScript = () => { | ||
// Define state variables | ||
const [data, setData] = useState([]); | ||
const [model, setModel] = useState(null); | ||
const [predictions, setPredictions] = useState([]); | ||
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// Use effect to load data and model | ||
useEffect(() => { | ||
axios.get(API_URL + '/data') | ||
.then(response => { | ||
setData(response.data); | ||
}) | ||
.catch(error => { | ||
console.error(error); | ||
}); | ||
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axios.get(MODEL_URL + '/model') | ||
.then(response => { | ||
setModel(response.data); | ||
}) | ||
.catch(error => { | ||
console.error(error); | ||
}); | ||
}, []); | ||
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// Define the predict function | ||
const predict = async () => { | ||
// Preprocess data | ||
const preprocessedData = data.map(item => { | ||
return { | ||
input: item.input, | ||
output: item.output | ||
}; | ||
}); | ||
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// Create a tensor from preprocessed data | ||
const tensor = TensorFlow.tensor(preprocessedData); | ||
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// Make predictions using the model | ||
const predictions = await model.predict(tensor); | ||
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// Set predictions state | ||
setPredictions(predictions); | ||
}; | ||
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// Render the component | ||
return ( | ||
<div> | ||
<h1>Advanced Script</h1> | ||
<button onClick={predict}>Predict</button> | ||
<ul> | ||
{predictions.map(prediction => ( | ||
<li key={prediction.id}>{prediction.value}</li> | ||
))} | ||
</ul> | ||
</div> | ||
); | ||
}; | ||
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export default AdvancedScript; |