first commit

.gitattributes

@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+effnet_b2_food101.pth filter=lfs diff=lfs merge=lfs -text
+examples/*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,45 @@
+# creating app.py
+
+########## imports ############
+import torch
+import torch.nn as nn
+from torchvision import models, transforms
+import gradio as gr
+from model import create_model 
+import PIL 
+from PIL import Image
+import os
+from pathlib import Path
+###############################
+
+def predict(img):
+    effnetb2, transform = create_model()
+    class_names = []
+    with open('classes.txt', 'r') as f:
+        class_names = [foodname.strip() for foodname in f.readlines()] 
+    effnetb2.load_state_dict(torch.load(f = 'effnet_b2_food101.pth', map_location = torch.device('cpu'))) 
+    
+    img = transform(img).unsqueeze(0)
+
+    model.eval()
+    with torch.inference_mode():
+        pred_label = class_names[model(img).softmax(dim = 1).argmax(dim = 1)]
+    print(pred_label)
+    return pred_label
+
+###############################
+title = 'FoodVision Project'
+description = 'FoodVision is an image classification model based on EfficientNet_B2 which has been trained on a 101 different classes using the Food101 dataset'
+###############################
+
+example_list = [['examples/' + example] for example in os.listdir('examples')] ##############
+
+demo = gr.Interface(
+    fn = predict,
+    inputs = gr.Image(type = 'pil'),
+    outputs = [gr.Textbox()],
+    title = title,
+    description = description 
+)
+
+demo.launch()

classes.txt

@@ -0,0 +1,101 @@
+apple_pie
+baby_back_ribs
+baklava
+beef_carpaccio
+beef_tartare
+beet_salad
+beignets
+bibimbap
+bread_pudding
+breakfast_burrito
+bruschetta
+caesar_salad
+cannoli
+caprese_salad
+carrot_cake
+ceviche
+cheesecake
+cheese_plate
+chicken_curry
+chicken_quesadilla
+chicken_wings
+chocolate_cake
+chocolate_mousse
+churros
+clam_chowder
+club_sandwich
+crab_cakes
+creme_brulee
+croque_madame
+cup_cakes
+deviled_eggs
+donuts
+dumplings
+edamame
+eggs_benedict
+escargots
+falafel
+filet_mignon
+fish_and_chips
+foie_gras
+french_fries
+french_onion_soup
+french_toast
+fried_calamari
+fried_rice
+frozen_yogurt
+garlic_bread
+gnocchi
+greek_salad
+grilled_cheese_sandwich
+grilled_salmon
+guacamole
+gyoza
+hamburger
+hot_and_sour_soup
+hot_dog
+huevos_rancheros
+hummus
+ice_cream
+lasagna
+lobster_bisque
+lobster_roll_sandwich
+macaroni_and_cheese
+macarons
+miso_soup
+mussels
+nachos
+omelette
+onion_rings
+oysters
+pad_thai
+paella
+pancakes
+panna_cotta
+peking_duck
+pho
+pizza
+pork_chop
+poutine
+prime_rib
+pulled_pork_sandwich
+ramen
+ravioli
+red_velvet_cake
+risotto
+samosa
+sashimi
+scallops
+seaweed_salad
+shrimp_and_grits
+spaghetti_bolognese
+spaghetti_carbonara
+spring_rolls
+steak
+strawberry_shortcake
+sushi
+tacos
+takoyaki
+tiramisu
+tuna_tartare
+waffles

effnet_b2_food101.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df74811b66ab04f42cffa2661285e967aed5b4458f2342306f0b32c41abed259
+size 31831029

model.py

@@ -0,0 +1,25 @@
+# creating model.py
+
+########## imports ############
+import torch
+import torch.nn as nn
+from torchvision import models, transforms
+
+###############################
+
+def create_model():
+    weights = models.EfficientNet_B2_Weights.DEFAULT
+    transform = weights.transforms()
+
+    model = models.efficientnet_b2(weights = weights)
+
+    for param in model.parameters():
+        param.requires_grad = False 
+
+    model.classifier = nn.Sequential(
+        nn.Dropout(p = 0.3, inplace = True),
+        nn.Linear(in_features = 1408, out_features = 101, bias = True)
+    )
+
+
+    return model, transform

requirements.txt

@@ -0,0 +1,3 @@
+torch==1.12.0
+torchvision==0.13.0
+gradio==3.1.4