Update app.py

app.py

@@ -14,35 +14,35 @@ def classify_image(img):
     return dict(zip(categories, map(float, probs)))
 
 
-image = gr.inputs.Image(shape=(360, 360))
-label = gr.outputs.Label()
+image = gr.Image()
+label = gr.Label()
 examples = [
     "Luffy.jpg",
     "Naruto-Kurama-Mode.png",
     "Goku.jpg",
     "Ichigo.jpeg",
-    "Robin.jpeg"
+    "Robin.jpeg",
 ]
 
 title = "Top 10 Shounen Anime Protagonists Classifier"
-description = "Fine tuned a resnet152 image classifier such that it is able to recognize protagonists of top 10 Shounen Animes.<br>"
-article = """
-    Animes and its protagonists this image classifier will recognize:
-    
-    1. One Piece - Monkey D. Luffy 
-    2. Naruto: Shippuden - Naruto Uzumaki
-    3. My Hero Academia - Izuku Midoriya
-    4. Dragon Ball Z - Son Goku aka Kakarot
-    5. Fairy Tail - Natsu Dragneel
-    6. Yu Yu Hakusho - Yusuke Urameshi
-    7. Bleach - Ichigo Kurosaki
-    8. Hunter X Hunter - Gon Freecss
-    9. Fullmetal Alchemist - Edward Elric
-    10. Attack on Titan - Eren Yeager
-    
-    Rest all other anime characters will be classified as others.
-"""
-
+description = "Fine tuned a resnet152 image classifier such that it is able to recognize protagonists of top 10 Shounen Animes."
+start_article = (
+    "<p> Animes and its protagonists this image classifier will recognize:</p>"
+)
+anime_characters = [
+    "1. One Piece - Monkey D. Luffy<br>",
+    "2. Naruto: Shippuden - Naruto Uzumaki<br>",
+    "3. My Hero Academia - Izuku Midoriya<br>",
+    "4. Dragon Ball Z - Son Goku aka Kakarot<br>",
+    "5. Fairy Tail - Natsu Dragneel<br>",
+    "6. Yu Yu Hakusho - Yusuke Urameshi<br>",
+    "7. Bleach - Ichigo Kurosaki<br>",
+    "8. Hunter X Hunter - Gon Freecss<br>",
+    "9. Fullmetal Alchemist - Edward Elric<br>",
+    "10. Attack on Titan - Eren Yeager<br>",
+]
+end_article = "<p>Rest all other anime characters will be classified as others.</p>"
+final_article = start_article + "".join(anime_characters) + end_article
 
 intf = gr.Interface(
     fn=classify_image,
@@ -51,7 +51,6 @@ intf = gr.Interface(
     examples=examples,
     title=title,
     description=description,
-    article=article,
-    theme="huggingface",
+    article=final_article,
 )
-intf.launch(inline=False)
+intf.launch(inline=False)