Update app.py

app.py

@@ -5,17 +5,14 @@ import tensorflow as tf
 
 from sentence_transformers import SentenceTransformer
 from huggingface_hub import from_pretrained_keras
-from huggingface_hub
-
-huggingface_hub.login(HUGGING_FACE_HUB_TOKEN)
 
 emb_model = SentenceTransformer('distiluse-base-multilingual-cased-v2')
 EMB_DIM = 512
 
-feedback_class_model = from_pretrained_keras('vitiugin/loop_feedback', use_auth_token=True)
+feedback_class_model = from_pretrained_keras('vitiugin/loop_feedback', token=HUGGING_FACE_HUB_TOKEN)
 feedback_labels = ['Request', 'Thanks', 'Question', 'Opinion', 'Concern']
 
-area_class_model = tf.keras.models.load_model('models/loop_area', use_auth_token=True)
+area_class_model = tf.keras.models.load_model('vitiugin/loop_area', token=HUGGING_FACE_HUB_TOKEN)
 area_labels = ['cross-cutting', 'education', 'food security', 'governance', 'health', 'protection', 'shelter', 'wash']