Bugfix: Removed packaging from clip which caused issues for some people

Reverted back to numpy 1.24.3 due to install problems

clip/clip.py

@@ -3,7 +3,6 @@
 import urllib
 import warnings
 from typing import Any, Union, List
-from pkg_resources import packaging
 
 import torch
 from PIL import Image
@@ -20,9 +19,6 @@
     BICUBIC = Image.BICUBIC
 
 
-if packaging.version.parse(torch.__version__) < packaging.version.parse("1.7.1"):
-    warnings.warn("PyTorch version 1.7.1 or higher is recommended")
-
 
 __all__ = ["available_models", "load", "tokenize"]
 _tokenizer = _Tokenizer()
@@ -228,10 +224,10 @@ def tokenize(texts: Union[str, List[str]], context_length: int = 77, truncate: b
     sot_token = _tokenizer.encoder["<|startoftext|>"]
     eot_token = _tokenizer.encoder["<|endoftext|>"]
     all_tokens = [[sot_token] + _tokenizer.encode(text) + [eot_token] for text in texts]
-    if packaging.version.parse(torch.__version__) < packaging.version.parse("1.8.0"):
-        result = torch.zeros(len(all_tokens), context_length, dtype=torch.long)
-    else:
-        result = torch.zeros(len(all_tokens), context_length, dtype=torch.int)
+    #if packaging.version.parse(torch.__version__) < packaging.version.parse("1.8.0"):
+    #    result = torch.zeros(len(all_tokens), context_length, dtype=torch.long)
+    #else:
+    result = torch.zeros(len(all_tokens), context_length, dtype=torch.int)
 
     for i, tokens in enumerate(all_tokens):
         if len(tokens) > context_length:

requirements.txt

@@ -1,6 +1,6 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
 
-numpy==1.26.2
+numpy==1.24.3
 gradio==4.21.0
 opencv-python==4.8.1.78
 onnx==1.15.0