--- a
+++ b/src/config.py
@@ -0,0 +1,28 @@
+import os
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, AutoModel
+import torch
+
+
+neighbors_k = 5
+clusters = 10
+trees = 100
+annoy_metric = 'dot'
+lines_per_tokenization = 5
+filename_split_key = "__at__"
+# Load model from HuggingFace Hub
+device = "cuda"
+model_checkpoint = "sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
+# model_checkpoint = "gsarti/scibert-nli"
+# model_checkpoint = "logs/scibert_20_epochs_64_batch_99_train_split"
+tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
+model = AutoModel.from_pretrained(model_checkpoint)
+data_path = os.path.join(os.path.dirname(__file__), "../data/train/txt")
+embeddings_path = data_path + os.sep + "embedding"
+train_data_path = os.path.join(os.path.dirname(__file__), "../data/train")
+metadata_path = train_data_path + os.sep + "metadata"
+similarity = torch.nn.CosineSimilarity()
+if not os.path.exists(embeddings_path):
+    os.makedirs(embeddings_path)
+embedding_size = model.embeddings.word_embeddings.weight.data.shape[1]
+
+DEFAULT_OUTPUT_DIR = os.path.join(os.path.dirname(__file__), 'output/predictions')
\ No newline at end of file