Instructions to use zahrach0724/Attendify-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zahrach0724/Attendify-v2 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zahrach0724/Attendify-v2") - Notebooks
- Google Colab
- Kaggle
Download templates/predict_form.html from zahrach0724/Attendify-v2: direct link, hf CLI and curl.
- Browser
- Download file 4.85 kB
-
https://huggingface.co/zahrach0724/Attendify-v2/resolve/main/templates/predict_form.html
- Command line
-
hf download hf://zahrach0724/Attendify-v2/templates/predict_form.html
-
curl -L -o predict_form.html https://huggingface.co/zahrach0724/Attendify-v2/resolve/main/templates/predict_form.html
4.85 kB
| {% load static %} | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Upload and Predict</title> | |
| <style> | |
| body { | |
| font-family: 'Arial', "Times New Roman"; | |
| background-color: #88AB8E; | |
| text-align: center; | |
| margin: 50px; | |
| background-image: url('https://img.freepik.com/premium-vector/circuit-board-motherboard-blue-technology-background_322958-38.jpg'); | |
| background-repeat: no-repeat; | |
| background-attachment: fixed; | |
| background-size: 100% 100%; | |
| }Yes B | |
| .topnav { | |
| overflow: hidden; | |
| background-color: #333; | |
| margin-top: -40px; | |
| } | |
| .camera { | |
| overflow: hidden; | |
| } | |
| .topnav a { | |
| float: left; | |
| color: #f2f2f2; | |
| text-align: center; | |
| padding: 12px 10px; | |
| text-decoration: none; | |
| font-size: 25px; | |
| } | |
| .topnav a:hover { | |
| background-color: #ddd; | |
| color: black; | |
| } | |
| .topnav a.active { | |
| background-color: #333; | |
| color: white; | |
| } | |
| h1 { | |
| color: white; | |
| font-size: 90px; | |
| } | |
| h2 { | |
| color: yellow; | |
| font-size: 30px; | |
| } | |
| h3{ | |
| color: white; | |
| font-size: 30px; | |
| } | |
| form { | |
| max-width: 400px; | |
| margin: 0 auto; | |
| background-color: #fff; | |
| padding: 20px; | |
| border-radius: 8px; | |
| box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); | |
| } | |
| label { | |
| display: block; | |
| margin-bottom: 10px; | |
| font-weight: bold; | |
| color: #333; | |
| } | |
| input[type="file"] { | |
| display: none; | |
| } | |
| .custom-file-upload { | |
| cursor: pointer; | |
| background-color: #4caf50; | |
| color: #fff; | |
| border: none; | |
| padding: 10px 20px; | |
| font-size: 16px; | |
| border-radius: 4px; | |
| transition: background-color 0.3s; | |
| } | |
| .custom-file-upload:hover { | |
| background-color: #45a049; | |
| } | |
| button[type="submit"] { | |
| background-color: #3498db; | |
| color: #fff; | |
| border: none; | |
| padding: 10px 20px; | |
| font-size: 16px; | |
| border-radius: 4px; | |
| cursor: pointer; | |
| transition: background-color 0.3s; | |
| } | |
| button[type="submit"]:hover { | |
| background-color: #2980b9; | |
| } | |
| #image-preview { | |
| max-width: 100%; | |
| height: auto; | |
| margin-top: 20px; | |
| display: none; | |
| } | |
| #image-name { | |
| font-size: 14px; | |
| color: #555; | |
| margin-top: 10px; | |
| display: none; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="topnav"> | |
| <a class="navbar-brand" href="http://127.0.0.1:8000/predict/"> | |
| <img alt="Attendify" src="https://t4.ftcdn.net/jpg/02/29/42/89/240_F_229428944_GrooUMPzQskyvYcYhFcY9SYrhslHnBdt.jpg" width="30" height="30"> | |
| </a> | |
| <a class="active"><i>Attendify</i></a> | |
| <a class="active"> | Welcome to DS Attendance System</a> | |
| </div> | |
| <h1><i>Attendify</i></h1> | |
| <h2>Mark Attendance</h2> | |
| <form method="post" enctype="multipart/form-data"> | |
| <fieldset> | |
| {% csrf_token %} | |
| <label for="id_image" class="custom-file-upload"> | |
| <div class="camera"> | |
| <a class="navbar-brand"> | |
| <img alt="Attendify" src="https://cdn-icons-png.flaticon.com/128/11312/11312727.png" width="30" height="30"> | |
| </a> | |
| </div> | |
| Select Image | |
| </label> | |
| <input type="file" id="id_image" name="image" onchange="previewImage(this)"> | |
| <img id="image-preview" alt="Selected Image"> | |
| <div id="image-name"></div> | |
| <br> | |
| <br> | |
| <br> | |
| </fieldset> | |
| <br> | |
| <button type="submit">Save</button> | |
| </form> | |
| <script> | |
| function previewImage(input) { | |
| var preview = document.getElementById('image-preview'); | |
| var imageName = document.getElementById('image-name'); | |
| var file = input.files[0]; | |
| var reader = new FileReader(); | |
| reader.onload = function (e) { | |
| preview.src = e.target.result; | |
| preview.style.display = 'block'; | |
| imageName.innerText = 'Selected Image: ' + file.name; | |
| imageName.style.display = 'block'; | |
| }; | |
| if (file) { | |
| reader.readAsDataURL(file); | |
| } else { | |
| preview.src = ''; | |
| preview.style.display = 'none'; | |
| imageName.innerText = ''; | |
| imageName.style.display = 'none'; | |
| } | |
| } | |
| </script> | |
| </body> | |
| </html> | |