Update app.py

app.py

@@ -3,7 +3,7 @@ from fastai.vision.all import *
 import gradio as gr
 
 # %% ../hugging-space-model-app.ipynb 7
-learn = load_learner('model1.pkl')
+learn = load_learner('model.pkl')
 
 # %% ../hugging-space-model-app.ipynb 9
 labels = learn.dls.vocab
@@ -13,9 +13,15 @@ def classify_image(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 # %% ../hugging-space-model-app.ipynb 11
-image = gr.components.Image()
-label = gr.components.Label(show_label=True,num_top_classes=3)
-examples = ['afraid.jpg','anger.jpg','happyface.jpg','disgust.jpg','sadface.webp','neutral.webp']
+with gr.Blocks(theme=gr.themes.Soft())as demo:
+  gr.HTML("<center><h1>EmoPix - Facial Expressions Classifier! 😊😞</h1><center>") 
+  gr.Markdown("""##### Classifies human facial expressions from an uploaded image.
+              <b>Upload images and have fun🤗. Classifies facial expressions with 75% accuracy</b>""")
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)
+
+  gr.Interface(fn=classify_image, 
+               inputs=gr.components.Image(), 
+               outputs=gr.components.Label(show_label=True,num_top_classes=3))
+
+
+demo.launch(inline=False)