all

app.py

@@ -1,269 +0,0 @@
-import gradio as gr
-from fastai.vision.all import load_learner
-
-
-food_labels = (
-    'adhirasam',
-    'aloo_gobi',
-    'aloo_matar',
-    'aloo_methi',
-    'aloo_shimla_mirch',
-    'aloo_tikki',
-    'anarsa',
-    'apple_pie',
-    'ariselu',
-    'baby_back_ribs',
-    'Baden_Brägele_with_Bibliskäs',
-    'baklava',
-    'bandar_laddu',
-    'basundi',
-    'beef_carpaccio',
-    'beef_tartare',
-    'beet_salad',
-    'beignets',
-    'bhatura',
-    'bhindi_masala',
-    'Bibimbap_food',
-    'biryani',
-    'Blanquette_de_Veau',
-    'Boeuf_Bourguignon',
-    'boondi',
-    'Bossam_food',
-    'Bouillabaisse',
-    'Braised_Beef_Rheinland_style',
-    'Braunkohl_and_Bregenwurst',
-    'bread_pudding',
-    'breakfast_burrito',
-    'bruschetta',
-    'Budae_Jjigae_food',
-    'Bulgogi_food',
-    'butter_chicken',
-    'Butter_Noodles',
-    'caesar_salad',
-    'cannoli',
-    'caprese_salad',
-    'carrot_cake',
-    'Cassoulet',
-    'ceviche',
-    'chak_hao_kheer',
-    'cham_cham',
-    'chana_masala',
-    'chapati',
-    'cheesecake',
-    'cheese_plate',
-    'chhena_kheeri',
-    'chicken_quesadilla',
-    'chicken_razala',
-    'chicken_tikka',
-    'chicken_tikka_masala',
-    'chicken_wings',
-    'chikki',
-    'chocolate_cake',
-    'chocolate_mousse',
-    'Chuncheon_Dakgalbi_food',
-    'churros',
-    'clam_chowder',
-    'club_sandwich',
-    'Coquilles_Saint_Jacques',
-    'Coq_au_Vin',
-    'crab_cakes',
-    'creme_brulee',
-    'croque_madame',
-    'Crème_brûlée',
-    'Crêpes',
-    'cup_cakes',
-    'daal_baati_churma',
-    'daal_puri',
-    'dal_makhani',
-    'dal_tadka',
-    'deviled_eggs',
-    'dharwad_pedha',
-    'donuts',
-    'doodhpak',
-    'double_ka_meetha',
-    'Dumplings',
-    'dum_aloo',
-    'Döner_with_Curried_Sausage',
-    'edamame',
-    'eggs_benedict',
-    'Escargots',
-    'falafel',
-    'filet_mignon',
-    'fish_and_chips',
-    'foie_gras',
-    'Fondue_Savoyarde',
-    'Frankfurter_Green_Sauce',
-    'french_fries',
-    'french_onion_soup',
-    'french_toast',
-    'fried_calamari',
-    'fried_rice',
-    'frozen_yogurt',
-    'gajar_ka_halwa',
-    'garlic_bread',
-    'gavvalu',
-    'German_Bread_Rolls',
-    'ghevar',
-    'Gimbap_food',
-    'gnocchi',
-    'greek_salad',
-    'grilled_cheese_sandwich',
-    'grilled_salmon',
-    'guacamole',
-    'gulab_jamun',
-    'gyoza',
-    'Gyudon',
-    'hamburger',
-    'Hamburger_Labskaus',
-    'Hamburger_Pannfisch',
-    'hot_and_sour_soup',
-    'hot_dog',
-    'huevos_rancheros',
-    'hummus',
-    'ice_cream',
-    'imarti',
-    'jalebi',
-    'kachori',
-    'kadai_paneer',
-    'kadhi_pakoda',
-    'kajjikaya',
-    'kakinada_khaja',
-    'kalakand',
-    'Kalguksu_food',
-    'karela_bharta',
-    'Kare_raisu',
-    'Katsudon',
-    'Kimchi_Jjigae_food',
-    'kofta',
-    'kuzhi_paniyaram',
-    'Königsberger_Meatballs',
-    'lasagna',
-    'lassi',
-    'ledikeni',
-    'litti_chokha',
-    'lobster_bisque',
-    'lobster_roll_sandwich',
-    'lyangcha',
-    'maach_jhol',
-    'macaroni_and_cheese',
-    'macarons',
-    'makki_di_roti_sarson_da_saag',
-    'malapua',
-    'Manduguk_food',
-    'misi_roti',
-    'Miso_soup',
-    'misti_doi',
-    'modak',
-    'Moules_Marinières',
-    'mussels',
-    'mysore_pak',
-    'naan',
-    'nachos',
-    'navrattan_korma',
-    'Ojingeo_Bokkeum_food',
-    'Okonomiyaki',
-    'omelette',
-    'Omurice',
-    'Onigiri',
-    'onion_rings',
-    'oysters',
-    'pad_thai',
-    'paella',
-    'Pajeon_food',
-    'palak_paneer',
-    'pancakes',
-    'paneer_butter_masala',
-    'panna_cotta',
-    'peking_duck',
-    'phirni',
-    'pho',
-    'Pissaladière',
-    'pithe',
-    'pizza',
-    'poha',
-    'poornalu',
-    'pootharekulu',
-    'pork_chop',
-    'Pork_Knuckle_with_Sauerkraut',
-    'Potato_Fritters_or_Potato_Pancakes_Kartoffelpuffer_',
-    'Potato_Salad',
-    'poutine',
-    'Pretzen_from_Bavaria',
-    'prime_rib',
-    'pulled_pork_sandwich',
-    'Pumpernickel_from_Lower_Saxony',
-    'qubani_ka_meetha',
-    'rabri',
-    'Ramen',
-    'rasgulla',
-    'ras_malai',
-    'ravioli',
-    'red_velvet_cake',
-    'risotto',
-    'Salade_niçoise',
-    'Samgyetang_food',
-    'samosa',
-    'sandesh',
-    'sashimi',
-    'scallops',
-    'seaweed_salad',
-    'Shabu_Shabu',
-    'shankarpali',
-    'sheera',
-    'sheer_korma',
-    'shrikhand',
-    'shrimp_and_grits',
-    'Soba',
-    'sohan_halwa',
-    'sohan_papdi',
-    'Soufflé',
-    'Soupe_à_L_oignon',
-    'spaghetti_bolognese',
-    'spaghetti_carbonara',
-    'spring_rolls',
-    'steak',
-    'Steak_Tartare',
-    'strawberry_shortcake',
-    'Sundae_food',
-    'sushi',
-    'Sushi_Sashimi',
-    'sutar_feni',
-    'tacos',
-    'takoyaki',
-    'Tarte_Flambée_with_a_French_Influence',
-    'Tarte_Tatin',
-    'Tartiflette',
-    'Tempura',
-    'tiramisu',
-    'Tteokbokki_food',
-    'tuna_tartare',
-    'Udon',
-    'unni_appam',
-    'waffles',
-    'Yakitori',
-    'Yangnyeom_Tongdak_food'
-)
-
-
-
-
-model = load_learner('food-recognizer-r50-v0.pkl')
-
-def recognize_image(image):
-  pred, idx, probs = model.predict(image)
-  print(pred, probs)
-  return dict(zip(food_labels, map(float, probs)))
-
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label(num_top_classes=5)
-examples = [
-    'test1.jpg',
-    'test2.jpg',
-    'test3.jpg',
-    'test4.jpg',
-    'test5.jpg',
-    'test6.jpg'
-    ]
-
-iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
-iface.launch(inline=False)