Zentochi/Demo-Ensemble-Learning

1import gradio as gr2 3i18n = gr.I18n(4    en={5        # Header6        "title": "<center><h1>Classification of Papaya Leaf Disease Using Ensemble Learning</h1></center>",7        "description": """<h3><center>Final Project Demo enitled "Classification of Papaya Leaf Disease using Ensemble Learning". Predict image using ensemble of Convolutional Neural Network(CNN) Models. Available prediction class are Healthy leaf, Ringspot leaf, Yellow Leaf, and Others. Built with Gradio and PyTorch🔥</center></h3>""",8        "input_image": "Input Image",9        "upload": "Upload Image",10        "predict": "Predict",11        "result": "Prediction Result",12        "image_example": "Image Example (click to load)",13        "missing_image": "<p>No image example found in 'examples' folder</p>",14        # Model selector15        "choose_model": "Choose Model Architecture",16        "mode_selector": "Select Usage Mode",17        "mode_description": "Select 'User' for automatic prediction with Soft Voting, or 'Tester' to choose model architecture.",18        # Method selector19        "choose_method": "Choose Prediction Method",20        "method_user": "User",21        "method_tester": "Tester",22        "method_description": "Choose prediction method with individual models (VGG16, ResNet-34, MobileNetV2) or Ensemble Learning (soft voting)",23        # button24        "predict_button": "Predict",25        "clear_button": "Clear",26    },27    id={28        # Header29        "title": "<center><h1>Klasifikasi Citra Penyakit Daun Pepaya dengan Ensemble Learning</h1></center>",30        "description": """<h3><center>Demo Tugas Akhir (TA) berjudul "Klasifikasi Citra Penyakit Daun Pepaya dengan Ensemble Learning". Prediksi citra menggunakan gabungan dari Convolutional Neural Network(CNN). Kelas prediksi yang tersedia adalah Healthy leaf, Ringspot leaf, Yellow Leaf, dan Others. Dibangun dengan Gradio dan PyTorch🔥</center></h3>""",31        "input_image": "Input Citra",32        "upload": "Unggah Gambar",33        "predict": "Prediksi",34        "result": "Hasil Prediksi",35        "image_example": "Contoh citra (klik untuk memuat)",36        "missing_image": "<p>Tidak ada contoh citra ditemukan di folder 'examples'.</p>",37        # Mode selector38        "choose_model": "Pilih Arsitektur Model",39        "mode_selector": "Pilih Mode",40        "mode_description": "Pilih 'User' untuk prediksi otomatis dengan Soft Voting, atau 'Tester' untuk memilih arsitektur model.",41        # Method selector42        "choose_method": "Pilih Metode Prediksi",43        "method_user": "User",44        "method_tester": "Penguji",45        "method_description": "Pilih metode prediksi dengan model individual (VGG16, ResNet-34, MobileNetV2) atau Ensemble Learning (soft voting)",46        # button47        "predict_button": "Prediksi",48        "clear_button": "Bersihkan",49    }50)