IrisModel / static /index.html
Rishabh IO
First deploy to HF Spaces
5f1f14e
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Flower Predictor</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
background-color: #f2f2f2;
}
form {
background-color: #fff;
padding: 20px;
border-radius: 10px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
label {
display: block;
margin-bottom: 10px;
}
input[type="text"] {
width: 100%;
padding: 10px;
margin-bottom: 20px;
border: 1px solid #ccc;
border-radius: 5px;
box-sizing: border-box;
}
input[type="submit"] {
background-color: #4CAF50;
color: white;
padding: 10px 20px;
border: none;
border-radius: 5px;
cursor: pointer;
}
input[type="submit"]:hover {
background-color: #45a049;
}
</style>
</head>
<body>
<div>
<h1>Flower Predictor</h1>
<p>Enter the flower measurements to predict the class of the flower.</p>
<p> The predicted class is: <span id="predicted_class"></span> </p>
</div>
<form id="flowerForm">
<label for="petal_length">Petal Length:</label>
<input type="text" id="petal_length" name="petal_length" required>
<label for="sepal_length">Sepal Length:</label>
<input type="text" id="sepal_length" name="sepal_length" required>
<label for="petal_width">Petal Width:</label>
<input type="text" id="petal_width" name="petal_width" required>
<label for="sepal_width">Sepal Width:</label>
<input type="text" id="sepal_width" name="sepal_width" required>
<input type="submit" value="Predict">
</form>
<script>
document.getElementById("flowerForm").addEventListener("submit", function(event) {
event.preventDefault(); // Prevent default form submission
// Prepare data for API call
const formData = new FormData(event.target);
const requestData = {};
formData.forEach((value, key) => {
requestData[key] = value;
});
// Make API call
fetch("/predict", {
method: "POST",
headers: {
"Content-Type": "application/json"
},
body: JSON.stringify(requestData)
})
.then(response => {
if (!response.ok) {
throw new Error("Network response was not ok");
}
return response.json();
})
.then(data => {
// Handle API response here
console.log(data);
document.getElementById("predicted_class").innerText = data.predicted_class;
// alert("Prediction: " + data.predicted_class);
})
.catch(error => {
console.error("Error:", error);
alert("An error occurred. Please try again.");
});
});
</script>
</body>
</html>