Fix Auth Token

model.py

@@ -21,10 +21,10 @@ models = {
         "desc": "A tool to showcase the full capabilities of text analysis NusaBERT fine-tuning has to offer.",
         "interface": text_analysis_interface,
         "pipe": [
-            pipeline(model="LazarusNLP/NusaBERT-base-EmoT", use_auth_token=auth_token),
-            pipeline(model="LazarusNLP/NusaBERT-base-EmoT", use_auth_token=auth_token),
-            pipeline(model="LazarusNLP/NusaBERT-base-POSP", use_auth_token=auth_token),
-            pipeline(model="LazarusNLP/NusaBERT-base-NERP", use_auth_token=auth_token),
+            pipeline(model="LazarusNLP/NusaBERT-base-EmoT", token=auth_token),
+            pipeline(model="LazarusNLP/NusaBERT-base-EmoT", token=auth_token),
+            pipeline(model="LazarusNLP/NusaBERT-base-POSP", token=auth_token),
+            pipeline(model="LazarusNLP/NusaBERT-base-NERP", token=auth_token),
         ],
     },
     "Sentiment Analysis": {
@@ -37,7 +37,7 @@ models = {
         "output_label": "Sentiment Analysis",
         "desc": "A sentiment-text-classification model based on the BERT model. The model was originally the pre-trained NusaBERT Base model, which is then fine-tuned on indonlu's SmSA dataset consisting of Indonesian comments and reviews.",
         "interface": text_interface,
-        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-EmoT", use_auth_token=auth_token),
+        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-EmoT", token=auth_token),
     },
     "Emotion Detection": {
         "title": "Emotion Classifier",
@@ -49,7 +49,7 @@ models = {
         "output_label": "Emotion Classifier",
         "desc": "An emotion classifier based on the BERT model. The model was originally the pre-trained NusaBERT Base model, which is then fine-tuned on indonlu's EmoT dataset",
         "interface": text_interface,
-        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-EmoT", use_auth_token=auth_token),
+        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-EmoT", token=auth_token),
     },
     "POS Tagging": {
         "title": "POS Tagging",
@@ -61,7 +61,7 @@ models = {
         "output_label": "POS Tagging",
         "desc": "A part-of-speech token-classification model based on the BERT model. The model was originally the pre-trained NusaBERT Base model, which is then fine-tuned on indonlu's POSP dataset consisting of tag-labelled news.",
         "interface": token_classification_interface,
-        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-POSP", use_auth_token=auth_token),
+        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-POSP", token=auth_token),
     },
     "NER Tagging": {
         "title": "NER Tagging",
@@ -73,6 +73,6 @@ models = {
         "output_label": "NER Tagging",
         "desc": "A NER Tagging token-classification model based on the BERT model. The model was originally the pre-trained NusaBERT Base model, which is then fine-tuned on indonlu's NERP dataset consisting of tag-labelled news.",
         "interface": token_classification_interface,
-        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-NERP", use_auth_token=auth_token),
+        "pipe": pipeline(model="LazarusNLP/NusaBERT-base-NERP", token=auth_token),
     },
 }