Instructions to use Ritikjain44/Emotion_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ritikjain44/Emotion_detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ritikjain44/Emotion_detection") - Notebooks
- Google Colab
- Kaggle
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Emotion Detection</title> | |
| <style> | |
| body { | |
| font-family: Arial, sans-serif; | |
| margin: 0; | |
| padding: 0; | |
| background-color: #f0f0f0; | |
| text-align: center; | |
| } | |
| h1 { | |
| margin-top: 30px; | |
| color: #333; | |
| } | |
| #upload-form { | |
| margin-top: 20px; | |
| } | |
| #result { | |
| margin-top: 20px; | |
| font-weight: bold; | |
| } | |
| #result.emotion-happy { | |
| color: #00cc00; | |
| } | |
| #result.emotion-sad { | |
| color: #3333ff; | |
| } | |
| #result.emotion-angry { | |
| color: #cc0000; | |
| } | |
| #result.emotion-neutral { | |
| color: #666666; | |
| } | |
| #result.emotion-surprise { | |
| color: #ff9900; | |
| } | |
| input[type="file"] { | |
| display: none; | |
| } | |
| .custom-file-upload { | |
| display: inline-block; | |
| padding: 10px 20px; | |
| cursor: pointer; | |
| background-color: #4CAF50; | |
| color: white; | |
| border-radius: 5px; | |
| transition: background-color 0.3s; | |
| } | |
| .custom-file-upload:hover { | |
| background-color: #45a049; | |
| } | |
| #uploaded-image { | |
| margin-top: 20px; | |
| max-width: 400px; | |
| border-radius: 5px; | |
| } | |
| #upload-button { | |
| display: none; | |
| } | |
| #reset-button { | |
| margin-top: 20px; | |
| padding: 10px 20px; | |
| background-color: #f44336; | |
| color: white; | |
| border: none; | |
| border-radius: 5px; | |
| cursor: pointer; | |
| transition: background-color 0.3s; | |
| } | |
| #reset-button:hover { | |
| background-color: #d32f2f; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <h1>Emotion Detection</h1> | |
| <form id="upload-form" enctype="multipart/form-data"> | |
| <label for="image" class="custom-file-upload"> | |
| Choose File | |
| </label> | |
| <input type="file" id="image" name="image" accept="image/*" required> | |
| <button id="upload-button" type="submit">Upload Image</button> | |
| </form> | |
| <div id="result"></div> | |
| <img id="uploaded-image" src="#" alt="Uploaded Image"> | |
| <button id="reset-button">Reset</button> | |
| <script> | |
| document.getElementById('image').addEventListener('change', function(event) { | |
| var fileInput = event.target; | |
| var file = fileInput.files[0]; | |
| var uploadedImage = document.getElementById('uploaded-image'); | |
| var uploadButton = document.getElementById('upload-button'); | |
| if (file) { | |
| uploadedImage.src = URL.createObjectURL(file); | |
| uploadButton.style.display = 'inline-block'; | |
| } else { | |
| uploadedImage.src = '#'; | |
| uploadButton.style.display = 'none'; | |
| } | |
| }); | |
| document.getElementById('upload-form').addEventListener('submit', function(event) { | |
| event.preventDefault(); | |
| var formData = new FormData(this); | |
| fetch('/predict', { | |
| method: 'POST', | |
| body: formData | |
| }) | |
| .then(response => { | |
| if (!response.ok) { | |
| throw new Error('Network response was not ok'); | |
| } | |
| return response.json(); | |
| }) | |
| .then(data => { | |
| var resultDiv = document.getElementById('result'); | |
| resultDiv.innerText = 'Detected Emotion: ' + data.emotion; | |
| resultDiv.className = 'emotion-' + data.emotion.toLowerCase(); | |
| }) | |
| .catch(error => { | |
| var resultDiv = document.getElementById('result'); | |
| resultDiv.innerText = 'Error: ' + error.message; | |
| resultDiv.className = ''; | |
| }); | |
| }); | |
| document.getElementById('reset-button').addEventListener('click', function(event) { | |
| var form = document.getElementById('upload-form'); | |
| form.reset(); | |
| var uploadedImage = document.getElementById('uploaded-image'); | |
| uploadedImage.src = '#'; | |
| var resultDiv = document.getElementById('result'); | |
| resultDiv.innerText = ''; | |
| resultDiv.className = ''; | |
| var uploadButton = document.getElementById('upload-button'); | |
| uploadButton.style.display = 'none'; | |
| }); | |
| </script> | |
| </body> | |
| </html> | |