add python-version, update gitignore, update vectorizer to use cached gensim-data if available

.gitignore

@@ -1,2 +1,4 @@
 .DS_Store
-.env
+.env
+__pycache__/*
+gensim-data/*

.python-version

@@ -0,0 +1 @@
+3.11.13

vectorizer.py

@@ -1,5 +1,6 @@
 import gensim
 import gensim.downloader
+from gensim.models import KeyedVectors
 import numpy as np
 import pandas as pd
 import os
@@ -18,8 +19,16 @@ class Vectorizer:
         """
         Returns a KeyedVector object loaded from gensim
         """
+        model_path = os.path.join(os.getcwd(), 'gensim-data', 'GoogleNews-vectors-negative300.bin.gz')
         try:
+            print(f"Loading model from {model_path}")
+            kv = KeyedVectors.load_word2vec_format(model_path, binary=True)
+            print("Word2Vec model loaded successfully as KeyedVectors object.")
+            return kv
+        except FileNotFoundError:
+            print(f"Error: Model file not found at {model_path}. Trying to download...")
             kv = gensim.downloader.load(model_name)  # returns a keyedvector
+            print("Word2Vec model loaded successfully as KeyedVectors object.")
             return kv
         except Exception as e:
             print(f"Unable to load embedding model from gensim: {e}")