2 files changed, 22 insertions, 21 deletions

diff --git a/data/csv.py b/data/csv.py
index a60733a..d1f3054 100644
--- a/data/csv.py
+++ b/data/csv.py
@@ -1,7 +1,6 @@
 import math
 import torch
 import json
-import numpy as np
 from pathlib import Path
 from PIL import Image
 from torch.utils.data import Dataset, DataLoader, random_split
@@ -9,32 +8,13 @@ from torchvision import transforms
 from typing import Dict, NamedTuple, List, Optional, Union, Callable
 
 from models.clip.prompt import PromptProcessor
+from data.keywords import prompt_to_keywords, keywords_to_prompt
 
 
 def prepare_prompt(prompt: Union[str, Dict[str, str]]):
     return {"content": prompt} if isinstance(prompt, str) else prompt
 
 
-def keywords_to_prompt(prompt: list[str], dropout: float = 0, shuffle: bool = False) -> str:
-    if dropout != 0:
-        prompt = [keyword for keyword in prompt if np.random.random() > dropout]
-    if shuffle:
-        np.random.shuffle(prompt)
-    return ", ".join(prompt)
-
-
-def prompt_to_keywords(prompt: str, expansions: dict[str, str]) -> list[str]:
-    def expand_keyword(keyword: str) -> list[str]:
-        return [keyword] + expansions[keyword].split(", ") if keyword in expansions else [keyword]
-
-    return [
-        kw
-        for keyword in prompt.split(", ")
-        for kw in expand_keyword(keyword)
-        if keyword != ""
-    ]
-
-
 class CSVDataItem(NamedTuple):
     instance_image_path: Path
     class_image_path: Path
diff --git a/data/keywords.py b/data/keywords.py
new file mode 100644
index 0000000..9e656f3
--- /dev/null
+++ b/data/keywords.py
@@ -0,0 +1,21 @@
+import numpy as np
+
+
+def keywords_to_prompt(prompt: list[str], dropout: float = 0, shuffle: bool = False) -> str:
+    if dropout != 0:
+        prompt = [keyword for keyword in prompt if np.random.random() > dropout]
+    if shuffle:
+        np.random.shuffle(prompt)
+    return ", ".join(prompt)
+
+
+def prompt_to_keywords(prompt: str, expansions: dict[str, str] = {}) -> list[str]:
+    def expand_keyword(keyword: str) -> list[str]:
+        return [keyword] + expansions[keyword].split(", ") if keyword in expansions else [keyword]
+
+    return [
+        kw
+        for keyword in prompt.split(", ")
+        for kw in expand_keyword(keyword)
+        if keyword != ""
+    ]