Download static/index.html from rishabhio/IrisModel: direct link, hf CLI and curl.
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- Download file 3.13 kB
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https://huggingface.co/spaces/rishabhio/IrisModel/resolve/main/static/index.html
- Command line
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hf download hf://spaces/rishabhio/IrisModel/static/index.html
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curl -L -o index.html https://huggingface.co/spaces/rishabhio/IrisModel/resolve/main/static/index.html
3.13 kB
| <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> | |