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Create predict.html
#1
by
LPX55
- opened
- static/predict.html +131 -0
static/predict.html
ADDED
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta http-equiv="X-UA-Compatible" content="ie=edge">
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<title>Cat or Dog predictor</title>
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<link rel="stylesheet" href="https://unpkg.com/mvp.css">
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</head>
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<body>
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<a href="https://github.com/nuvic/predict_image"><img loading="lazy" width="149" height="149" src="https://github.blog/wp-content/uploads/2008/12/forkme_left_green_007200.png?resize=149%2C149" class="attachment-full size-full" alt="Fork me on GitHub" data-recalc-dims="1"></a>
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<header>
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<h1>Predict a dog or cat from an image</h1>
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<p>Model provided by <a href="https://github.com/fastai/fastai">fastai</a> and api hosted by <a href="https://hf.space/embed/jph00/testing/api" target="_blank">hugging face</a>
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</p>
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<a href="https://github.com/nuvic/predict_image" target="_blank">Github Repo</a>
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</header>
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<main>
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<header>
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<h2>Submit a picture of either a cat or dog</h2>
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<p id="prediction"></p>
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<p id="confidences"></p>
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<p id="error"></p>
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</header>
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<section>
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<img id="myImage" height="400" width="400">
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<form id="form">
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<label for="fileInput"></label>
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<input id="fileInput" type="file" onchange="onFileSelected(event)" name="File">
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</form>
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</section>
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</main>
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<script>
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/*
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* Reads the selected image file,
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* shows the image file on the page,
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* calls the API with the image file in base64 string,
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* records the prediction (label) of the API
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References to JS functionality:
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* FileReader (allows reading of file content): https://developer.mozilla.org/en-US/docs/Web/API/FileReader
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* Element.innerHTML (replace content within HTML block): https://developer.mozilla.org/en-US/docs/Web/API/Element/innerHTML
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* Fetch (making API call): https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API/Using_Fetch
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* getElementById (retrieve the html element with specific id): https://developer.mozilla.org/en-US/docs/Web/API/Document/getElementById
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*/
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function onFileSelected(event) {
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const selectedFile = event.target.files[0];
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const reader = new FileReader();
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const imgtag = document.getElementById("myImage");
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imgtag.title = selectedFile.name;
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reader.onload = function(event) {
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// set the div element with "id=myImage" to show the uploaded image file
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imgtag.src = event.target.result;
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};
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reader.readAsDataURL(selectedFile);
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const predictionEl = document.getElementById('prediction')
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const confidencesEl = document.getElementById('confidences')
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const errorEl = document.getElementById('error')
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reader.addEventListener("loadend", function() {
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// Make a API call by passing our image
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fetch('https://hf.space/embed/jph00/testing/+/api/predict/', {
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method: "POST",
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// reader.result is the base64 string of the uploaded image
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body: JSON.stringify({"data": [reader.result]}),
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headers: { "Content-Type": "application/json" } })
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.then(function(response) {
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if (response.status != 200) {
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// early return if the api errors out and show error message
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errorEl.innerHTML = '<u>Sorry the API is not working currently. Please try again later</u>'
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predictionEl.innerHTML = '';
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confidencesEl.innerHTML = '';
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return;
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}
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return response.json(); })
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.then(function(json_response) {
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// json_response has this format:
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// {
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// "data": [
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// {
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// "label": "Cat",
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// "confidences": [
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// {
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// "label": "Cat",
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// "confidence": 1
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// },
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// {
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// "label": "Dog",
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// "confidence": 2.430905149281037e-15
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// }
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// ]
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// }
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// ],
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// "flag_index": null,
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// "updated_state": null,
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// "durations": [
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// 0.04598379135131836
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// ],
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// "avg_durations": [
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// 0.16849387327829995
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// ]
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// }
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const label = json_response?.data[0]?.label;
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// Get the confidences for cat and dog
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// firstLabel and secondLabel are cat and dog
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// the order changes depending on the category predicted,
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// that's why the variable names are not fixed to catLabel/dogLabel
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const firstLabel = json_response?.data[0]?.confidences[0]?.label;
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const firstLabelConfidence = json_response?.data[0]?.confidences[0]?.confidence
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const secondLabel = json_response?.data[0]?.confidences[1]?.label;
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const secondLabelConfidence = json_response?.data[0]?.confidences[1]?.confidence
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// show the prediction
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predictionEl.innerHTML = `π <u>Prediction: ${label}</u> π`
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confidencesEl.innerHTML = `Confidence:<br>
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${firstLabel}: ${firstLabelConfidence}<br>
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${secondLabel}: ${secondLabelConfidence}`
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errorEl.innerHTML = '';
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return;
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})
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});
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}
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</script>
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</body>
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</html>
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