Added Clip dependency (#778)

tests/models/test_clip_processor.py

@@ -1,51 +1,43 @@
-# import os
-# import tempfile
-# import urllib
+import os
+import tempfile
+import urllib
 
-# import pytest
-# from PIL import Image
+from PIL import Image
 
-# TODO: Uncomment after fixing clip dependency issue
-# from embedchain.models.clip_processor import ClipProcessor
+from embedchain.models.clip_processor import ClipProcessor
 
 
-# class TestClipProcessor:
-#     @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
-#     def test_load_model(self):
-#         # Test that the `load_model()` method loads the CLIP model and image preprocessing correctly.
-#         model, preprocess = ClipProcessor.load_model()
-#         assert model is not None
-#         assert preprocess is not None
+class TestClipProcessor:
+    def test_load_model(self):
+        # Test that the `load_model()` method loads the CLIP model and image preprocessing correctly.
+        model = ClipProcessor.load_model()
+        assert model is not None
 
-#     @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
-#     def test_get_image_features(self):
-#         # Clone the image to a temporary folder.
-#         with tempfile.TemporaryDirectory() as tmp_dir:
-#             urllib.request.urlretrieve("https://upload.wikimedia.org/wikipedia/en/a/a9/Example.jpg", "image.jpg")
+    def test_get_image_features(self):
+        # Clone the image to a temporary folder.
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            urllib.request.urlretrieve("https://upload.wikimedia.org/wikipedia/en/a/a9/Example.jpg", "image.jpg")
 
-#             image = Image.open("image.jpg")
-#             image.save(os.path.join(tmp_dir, "image.jpg"))
+            image = Image.open("image.jpg")
+            image.save(os.path.join(tmp_dir, "image.jpg"))
 
-#             # Get the image features.
-#             model, preprocess = ClipProcessor.load_model()
-#             ClipProcessor.get_image_features(os.path.join(tmp_dir, "image.jpg"), model, preprocess)
+            # Get the image features.
+            model = ClipProcessor.load_model()
+            ClipProcessor.get_image_features(os.path.join(tmp_dir, "image.jpg"), model)
 
-#             # Delete the temporary file.
-#             os.remove(os.path.join(tmp_dir, "image.jpg"))
+            # Delete the temporary file.
+            os.remove(os.path.join(tmp_dir, "image.jpg"))
 
-#     @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
-#     def test_get_text_features(self):
-#         # Test that the `get_text_features()` method returns a list containing the text embedding.
-#         query = "This is a text query."
-#         model, preprocess = ClipProcessor.load_model()
+    def test_get_text_features(self):
+        # Test that the `get_text_features()` method returns a list containing the text embedding.
+        query = "This is a text query."
+        text_features = ClipProcessor.get_text_features(query)
 
-#         text_features = ClipProcessor.get_text_features(query)
+        # Assert that the text embedding is not None.
+        assert text_features is not None
 
-#         # Assert that the text embedding is not None.
-#         assert text_features is not None
+        # Assert that the text embedding is a list of floats.
+        assert isinstance(text_features, list)
 
-#         # Assert that the text embedding is a list of floats.
-#         assert isinstance(text_features, list)
-
-#         # Assert that the text embedding has the correct length.
-#         assert len(text_features) == 512
+        # Assert that the text embedding has the correct length.
+        assert len(text_features) == 512