Update app.py

app.py

@@ -1,6 +1,18 @@
 from fastai.vision.all import *
 import gradio as gr
 
+title = 'Sea Animals Classification'
+description = '''
+With this Spaces, you can classify 19 different sea animals with uploading their pictures or using examples given below. 
+
+Here are the list of animals into this model. 'corals','crabs','dolphin','eel','jelly fish','lobster','nudibranchs','octopus','penguin','puffers','sea rays','sea urchins','seahorse','seal','sharks','squid','starfish','turtle_tortoise','whale'
+
+Source of training dataset : https://www.kaggle.com/datasets/vencerlanz09/sea-animals-image-dataste
+You can gather information about how this model is trained : https://www.kaggle.com/code/tolgakurtulus/sea-animals-classification-with-fastai
+
+Enjoy it! 🐟
+'''
+
 learn = load_learner('model.pkl')
 
 image = gr.inputs.Image(shape=(128, 128))
@@ -15,6 +27,8 @@ def classify_img(img):
 
 interface = gr.Interface(fn=classify_img,
                 inputs=image,
+                title=title,
+                description=description,
                 outputs=label,
                 examples=examples)