catch when no cuda device is available, fallback to CPU

clip_for_ppts.py

@@ -20,6 +20,7 @@ class ClipImage:
     :param mode: 'image' or 'text' based on the type of input
     :param device: device to run the model on
     """
+    device = "cuda" if torch.cuda.is_available() else "cpu"
     # Path
     directory = 'input_features'
     path = os.path.join(path_to_save_image_features, directory)

requirements.txt

@@ -5,9 +5,9 @@ sentence-transformers
 pandas
 langchain
 gputil
-git+https://github.com/openai/CLIP.git
 torch
 transformers
 ftfy
 regex
-tqdm
+tqdm
+git+https://github.com/openai/CLIP.git