Multiple language support added.

app.py

@@ -8,6 +8,7 @@ models = {'en': 'Narsil/deberta-large-mnli-zero-cls', # English
           'es': 'Recognai/zeroshot_selectra_medium', # Spanish
           'it': 'joeddav/xlm-roberta-large-xnli', # Italian
           'ru': 'DeepPavlov/xlm-roberta-large-en-ru-mnli', # Russian
+          'tr': 'vicgalle/xlm-roberta-large-xnli-anli', # Turkish
           'no': 'NbAiLab/nb-bert-base-mnli'} # Norsk
 
 hypothesis_templates = {'en': 'This example is {}.', # English
@@ -15,6 +16,7 @@ hypothesis_templates = {'en': 'This example is {}.', # English
                         'es': 'Este ejemplo es {}.', # Spanish
                         'it': 'Questo esempio è {}.', # Italian
                         'ru': 'Этот пример {}.', # Russian
+                        'tr': 'Bu örnek {}.', # Turkish
                         'no': 'Dette eksempelet er {}.'} # Norsk
 
 def detect_lang(sequence, labels):
@@ -80,16 +82,11 @@ people who fall sick with COVID-19 will experience mild to moderate symptoms and
 However, some will become seriously ill and require medical attention."
 example_labels1 = "business,health related,politics,climate change"
 
-example_text2 = "Ja, vi elsker dette landet,\
-som det stiger frem,\
-furet, værbitt over vannet,\
-med de tusen hjem.\
-Og som fedres kamp har hevet\
-det av nød til seir"
-example_labels2 = "helse,sport,religion,mat,patriotisme og nasjonalisme"
+example_text2 = "Elephants are"
+example_labels2 = "big,small,strong,fast,carnivorous"
 
 example_text3 = "Elephants"
-example_labels3 = "are big,can be very small,generally not strong enough,are faster than you think,can be carnivorous"
+example_labels3 = "are big,can be very small,generally not strong enough,are faster than you think"
 
 example_text4 = "Dogs are man's best friend"
 example_labels4 = "positive,negative,neutral"
@@ -112,9 +109,22 @@ example_text9 = "I quattro registi - Federico Fellini, Pier Paolo Pasolini, Bern
 hanno utilizzato stili di ripresa diversi, ma hanno fortemente influenzato le giovani generazioni di registi."
 example_labels9 = "cinema,politica,cibo"
 
+example_text10 = "Ja, vi elsker dette landet,\
+som det stiger frem,\
+furet, værbitt over vannet,\
+med de tusen hjem.\
+Og som fedres kamp har hevet\
+det av nød til seir"
+example_labels10 = "helse,sport,religion,mat,patriotisme og nasjonalisme"
+
+example_text11 = "Şampiyonlar Ligi’nde 5. hafta oynanan karşılaşmaların ardından sona erdi. Real Madrid, \
+Inter ve Sporting oynadıkları mücadeleler sonrasında Son 16 turuna yükselmeyi başardı. \
+Gecenin dev mücadelesinde ise Manchester City, PSG’yi yenerek liderliği garantiledi."
+example_labels11 = "dünya,ekonomi,kültür,sağlık,siyaset,spor,teknoloji"
+
 iface = gr.Interface(
     title="Multilingual Multi-label Zero-shot Classification",
-    description="Currently supported languages are English, German, Spanish, Italian, Russian, Norsk.",
+    description="Currently supported languages are English, German, Spanish, Italian, Russian, Turkish, Norsk.",
     fn=sequence_to_classify,
     inputs=[gr.inputs.Textbox(lines=20,
         label="Please enter the text you would like to classify...",
@@ -134,6 +144,8 @@ iface = gr.Interface(
         [example_text6, example_labels6],
         [example_text7, example_labels7],
         [example_text8, example_labels8],
-        [example_text9, example_labels9]]
+        [example_text9, example_labels9],
+        [example_text10, example_labels10],
+        [example_text11, example_labels11]]
     )
 iface.launch()