make experiment name generation compatible with llama model that can't follow...

make experiment name generation compatible with llama model that can't follow simple instructions :^)

utils.py

 import inspect
 import json
 import logging
+import re
 from dataclasses import dataclass, field
 from functools import wraps
 from pathlib import Path
@@ -15,12 +16,19 @@ current_directory = Path(__file__).resolve().parent
 logger = logging.getLogger("test-classifier")
 logger.setLevel(level=logging.DEBUG)
 
-run_name_prompt = """Create a random experiemnt name consisting of only a first and last name. The name should sound german or dutch. The parts should be separated by underscores and contain only lowercase. </prompt>.
-                    <prompt>"""
+run_name_prompt = """
+Create a random name that sounds german or dutch
+The parts should be separated by underscores and contain only lowercase.
+Only return the name without any text before or after.""".strip()
 
 
 def initialize_run_directory(model: OpenAI | Llama2):
-    run_name = model(run_name_prompt)
+    response = model(run_name_prompt, chat=True)
+    run_name_match = re.search(r"^\w+$", response, re.MULTILINE)
+    if run_name_match is None:
+        run_name = uuid4().hex
+    else:
+        run_name = run_name_match.group(0)
     run_directory = current_directory / f"runs/run-{run_name}"
     run_directory.mkdir(parents=True, exist_ok=False)
     file_handler = logging.FileHandler(run_directory / "output.log")