Update app.py

app.py

@@ -14,8 +14,7 @@ def detect_language(sentence):
     output = model(**tokenized_sentence)
     predictions = torch.nn.functional.softmax(output.logits, dim=-1)
     _, preds = torch.max(predictions, dim=-1)
-    return preds.item()
-    #return LANGUANGE_MAP[preds.item()]
+    return LANGUANGE_MAP[preds.item()]
 
 examples = [
     "My Language detector using HuggingFace space.",
@@ -26,10 +25,6 @@ examples = [
     "もう食べましたか?",
     "as-tu mangé",
     "أريد أن ألعب كرة الريشة",
-    "హలో",
-    "ഹലോ",
-    "नमस्ते",
-    "terima kasih"
     
 ]
 
@@ -41,7 +36,7 @@ Supported languages:\n
     'Dhivehi', 'Dutch', 'English', 'Esperanto', 'Estonian', 'French', 'Frisian', 'Georgian', 'German', 'Greek', 'Hakha_Chin', 
     'Indonesian', 'Interlingua', 'Italian', 'Japanese', 'Kabyle', 'Kinyarwanda', 'Kyrgyz', 'Latvian', 'Maltese', 
     'Mangolian', 'Persian', 'Polish', 'Portuguese', 'Romanian', 'Romansh_Sursilvan', 'Russian', 'Sakha', 'Slovenian', 
-    'Spanish', 'Swedish', 'Tamil', 'Tatar', 'Turkish', 'Ukranian', 'Welsh','Hindi','Telugu','Malayalam','Karnataka','Malay'
+    'Spanish', 'Swedish', 'Tamil', 'Tatar', 'Turkish', 'Ukranian', 'Welsh'
 """
 Label = gr.Label(num_top_classes=3)
 gr.Interface(