added food labels and training code

app.py

@@ -57,9 +57,9 @@ def predict(img) -> tuple[dict, float]:
 ### 4. Gradio app
 
 # Create title, description and article strings
-title = "FoodVision 🍔👁"
-description = "An EfficientNetB2 feature extractor Computer Vision model to classify images of Food into 101 different classes."
-article = "Created by [pritesh tadvi](https://pritesh2000.github.io/)"
+title = "FoodVision 😋"
+description = "An EfficientNetB2 feature extractor Computer Vision model to classify images of Food into [101 different classes](https://huggingface.co/spaces/pritesh29/FoodVision/blob/main/class_names.txt)."
+article = "Created by [pritesh tadvi](https://pritesh2000.github.io/)\nTraining code at [kaggle/foodvision](https://www.kaggle.com/code/priteshtadvi/foodvision-a-food-classification-model)"
 
 # Create examples list from "examples/" directory
 example_list = [["examples/"+ example] for example in os.listdir("examples")]