Update app.py

app.py

@@ -16,18 +16,27 @@ context_tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-mnli")
 translation_tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-fr")
 
 labels = [
-    "aerospace", "anatomy", "anthropology", "art", 
-    "automotive", "blockchain", "biology", "chemistry", 
-    "cryptocurrency", "data science", "design", "e-commerce",
-    "education", "engineering", "entertainment", "environment",
-    "fashion", "finance", "food commerce", "general",
-    "gaming", "healthcare", "history", "html",
-    "information technology", "IT", "keywords", "legal",
-    "literature", "machine learning", "marketing", "medicine",
-    "music", "personal development", "philosophy", "physics",
-    "politics", "poetry", "programming", "real estate", "retail", 
-    "robotics", "slang", "social media", "speech", "sports",
-    "sustained", "technical", "theater", "tourism", "travel"
+    'aerospace', 'agriculture', 'anatomy', 'anthropology', 'architecture',
+    'art', 'automotive', 'astronomy', 'aviation', 'banking',
+    'biotechnology', 'biology', 'blockchain', 'business',
+    'chemistry', 'climate change', 'communication', 'computer science',
+    'construction', 'consumer goods', 'cryptocurrency', 'cybersecurity',
+    'dance', 'diplomacy', 'ecology', 'economics',
+    'education', 'energy', 'engineering', 'entrepreneurship',
+    'entertainment', 'ethics', 'fashion', 'finance',
+    'film', 'fitness', 'food commerce', 'general',
+    'gaming', 'geography', 'geology', 'graphic design',
+    'healthcare', 'history', 'html', 'human resources',
+    'immigration', 'innovation', 'journalism', 
+    'keywords','language','law enforcement','legal','logistics','literature',
+  	'machine learning','management','manufacturing','mathematics','media','military',
+  	'music','nanotechnology','nutrition','pharmaceuticals','photography',
+  	'psychology','public health','publishing','religion','renewable energy',
+  	'research','sales','science','social media','social work',
+  	'space exploration','sports','statistics','supply chain',
+  	'sustainability','telecommunications','transportation',
+  	'urban planning','veterinary medicine','virtual reality',
+  	'web development','writing','zoology'
 ]
 
 def softmax_with_temperature(logits, temperature=1.0):