added explain

app.py

@@ -8,11 +8,11 @@ from transformers_interpret import ZeroShotClassificationExplainer
 import string, nltk
 
 models = {'en': 'microsoft/deberta-xlarge-mnli', #'Narsil/deberta-large-mnli-zero-cls', # English
-          'de': 'Sahajtomar/German_Zeroshot', # German
-          '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
+          #'de': 'Sahajtomar/German_Zeroshot', # German
+          #'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
@@ -25,6 +25,7 @@ hypothesis_templates = {'en': 'This example is {}.', # English
 
 classifiers = {'en': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['en'],
                               model=models['en']),
+               '''
                'de': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['de'],
                               model=models['de']),
                'es': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['es'],
@@ -35,14 +36,15 @@ classifiers = {'en': pipeline("zero-shot-classification", hypothesis_template=hy
                               model=models['ru']),
                'tr': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['tr'],
                               model=models['tr']),
+               '''
                'no': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['no'],
                               model=models['no'])}
 
 fasttext_model = fasttext.load_model(hf_hub_download("julien-c/fasttext-language-id", "lid.176.bin"))
 
 _ = nltk.download('stopwords', quiet=True)
-_ = nltk.download('wordnet', quiet=True)
-_ = nltk.download('punkt', quiet=True)
+#_ = nltk.download('wordnet', quiet=True)
+#_ = nltk.download('punkt', quiet=True)
 
 def prep_examples():
     example_text1 = "Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Most \

requirements.txt

@@ -1,5 +1,4 @@
 transformers
-sentence-transformers
 torch
 langdetect
 fasttext