Added load_learner and title and description for app

app.py

@@ -7,6 +7,9 @@ __all__ = ['categories', 'image', 'label', 'examples', 'intf', 'classify_image']
 from fastai.vision.all import * 
 import gradio as gr
 
+
+learner = load_learner('model.pkl')
+
 # %% ../prod.ipynb 5
 categories = ('1990s', '2010s')
 def classify_image(img):
@@ -16,7 +19,9 @@ def classify_image(img):
 # %% ../prod.ipynb 6
 image = gr.Image(shape=(192,192))
 label = gr.Label()
+title = "1990s or 2010s classifier"
+description = "A nba eras classifier trained on images from Bing Image search with fastai."
 examples = ['sample.png', 'sample2.png', 'sample3.png']
 
-intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples, title=title, description=description)
 intf.launch(inline=False)