adding scaffolding

train.py

@@ -29,6 +29,7 @@ RNN_UNITS = 512
 
 # Pipeline & Training Hyperparameters
 TEXT_FILE = "saved_files/pg14314.txt"
+FILE_URL = 'https://www.gutenberg.org/cache/epub/14314/pg14314.txt'
 VOCAB_FILE = "vocab.txt"
 
 # DYNAMICALLY MANGLED DIRECTORY:
@@ -77,7 +78,15 @@ if os.path.exists(VOCAB_FILE):
         vocab = json.load(f)
 else:
     if not os.path.exists(TEXT_FILE):
-        sys.exit(f"Error: Neither '{VOCAB_FILE}' nor '{TEXT_FILE}' was found.")
+        print(f"File '{TEXT_FILE}' not found locally. Downloading it.")
+        # Download the file\mn",
+        downloaded_path = tf.keras.utils.get_file('tmp', FILE_URL)
+
+        # Save the downloaded file to the designated local directory
+        with open(downloaded_path, 'rb') as source_file:
+            with open(local_path, 'wb') as dest_file:
+                dest_file.write(source_file.read())
+
 
     print(f"Loading raw text from {TEXT_FILE} to build vocabulary...")
     with open(TEXT_FILE, 'r', encoding='utf-8') as f: