Upload Embeddings.py

Embeddings.py

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+import torch
+import numpy as np
+
+def load_glove_embeddings(embeddings_file):
+    """Load embeddings from a file."""
+    embeddings = {}
+    with open(embeddings_file, "r", encoding="utf8") as fp:
+        for index, line in enumerate(fp):
+            values = line.split()
+            word = values[0]
+            embedding = np.asarray(values[1:], dtype='float32')
+            embeddings[word] = embedding
+    return embeddings
+
+def make_embeddings_matrix(embeddings, word_index, embedding_dim):
+    """Create embeddings matrix to use in Embedding layer."""
+    embedding_matrix = np.zeros((len(word_index), embedding_dim))
+    for word, i in word_index.items():
+        embedding_vector = embeddings.get(word)
+        if embedding_vector is not None:
+            embedding_matrix[i] = embedding_vector
+    return embedding_matrix
+
+def get_embeddings(embedding_file_path, tokenizer, embedding_dim):
+    glove_embeddings = load_glove_embeddings(embeddings_file=embedding_file_path)
+    embedding_matrix = make_embeddings_matrix(embeddings=glove_embeddings, word_index=tokenizer.token_to_index, embedding_dim=embedding_dim)
+    return embedding_matrix