[Images] Remove 'clip' from the list of depdencies since pypi doesn't allow it (#766)
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@@ -3,7 +3,9 @@ try:
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import torch
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import torch
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from PIL import Image, UnidentifiedImageError
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from PIL import Image, UnidentifiedImageError
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except ImportError:
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except ImportError:
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raise ImportError("Images requires extra dependencies. Install with `pip install embedchain[images]`") from None
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raise ImportError(
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"Images requires extra dependencies. Install with `pip install 'embedchain[images]' git+https://github.com/openai/CLIP.git#a1d0717`" # noqa: E501
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) from None
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MODEL_NAME = "ViT-B/32"
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MODEL_NAME = "ViT-B/32"
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@@ -106,7 +106,6 @@ fastapi-poe = { version = "0.0.16", optional = true }
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discord = { version = "^2.3.2", optional = true }
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discord = { version = "^2.3.2", optional = true }
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slack-sdk = { version = "3.21.3", optional = true }
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slack-sdk = { version = "3.21.3", optional = true }
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docx2txt = "^0.8"
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docx2txt = "^0.8"
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clip = {git = "https://github.com/openai/CLIP.git#a1d0717", optional = true}
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pillow = { version = "10.0.1", optional = true }
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pillow = { version = "10.0.1", optional = true }
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torchvision = { version = ">=0.15.1, !=0.15.2", optional = true }
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torchvision = { version = ">=0.15.1, !=0.15.2", optional = true }
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ftfy = { version = "6.1.1", optional = true }
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ftfy = { version = "6.1.1", optional = true }
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@@ -133,7 +132,7 @@ poe = ["fastapi-poe"]
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discord = ["discord"]
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discord = ["discord"]
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slack = ["slack-sdk", "flask"]
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slack = ["slack-sdk", "flask"]
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whatsapp = ["twilio", "flask"]
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whatsapp = ["twilio", "flask"]
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images = ["torch", "ftfy", "regex", "clip", "pillow", "torchvision"]
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images = ["torch", "ftfy", "regex", "pillow", "torchvision"]
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[tool.poetry.group.docs.dependencies]
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[tool.poetry.group.docs.dependencies]
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@@ -1,46 +1,51 @@
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import os
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# import os
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import tempfile
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# import tempfile
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import urllib
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# import urllib
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from PIL import Image
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# import pytest
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# from PIL import Image
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from embedchain.models.clip_processor import ClipProcessor
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# TODO: Uncomment after fixing clip dependency issue
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# from embedchain.models.clip_processor import ClipProcessor
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class TestClipProcessor:
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# class TestClipProcessor:
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def test_load_model(self):
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# @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
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# Test that the `load_model()` method loads the CLIP model and image preprocessing correctly.
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# def test_load_model(self):
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model, preprocess = ClipProcessor.load_model()
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# # Test that the `load_model()` method loads the CLIP model and image preprocessing correctly.
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assert model is not None
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# model, preprocess = ClipProcessor.load_model()
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assert preprocess is not None
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# assert model is not None
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# assert preprocess is not None
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def test_get_image_features(self):
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# @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
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# Clone the image to a temporary folder.
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# def test_get_image_features(self):
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with tempfile.TemporaryDirectory() as tmp_dir:
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# # Clone the image to a temporary folder.
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urllib.request.urlretrieve("https://upload.wikimedia.org/wikipedia/en/a/a9/Example.jpg", "image.jpg")
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# with tempfile.TemporaryDirectory() as tmp_dir:
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# urllib.request.urlretrieve("https://upload.wikimedia.org/wikipedia/en/a/a9/Example.jpg", "image.jpg")
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image = Image.open("image.jpg")
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# image = Image.open("image.jpg")
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image.save(os.path.join(tmp_dir, "image.jpg"))
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# image.save(os.path.join(tmp_dir, "image.jpg"))
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# Get the image features.
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# # Get the image features.
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model, preprocess = ClipProcessor.load_model()
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# model, preprocess = ClipProcessor.load_model()
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ClipProcessor.get_image_features(os.path.join(tmp_dir, "image.jpg"), model, preprocess)
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# ClipProcessor.get_image_features(os.path.join(tmp_dir, "image.jpg"), model, preprocess)
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# Delete the temporary file.
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# # Delete the temporary file.
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os.remove(os.path.join(tmp_dir, "image.jpg"))
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# os.remove(os.path.join(tmp_dir, "image.jpg"))
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def test_get_text_features(self):
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# @pytest.mark.xfail(reason="This test is failing because of the missing CLIP dependency.")
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# Test that the `get_text_features()` method returns a list containing the text embedding.
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# def test_get_text_features(self):
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query = "This is a text query."
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# # Test that the `get_text_features()` method returns a list containing the text embedding.
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model, preprocess = ClipProcessor.load_model()
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# query = "This is a text query."
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# model, preprocess = ClipProcessor.load_model()
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text_features = ClipProcessor.get_text_features(query)
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# text_features = ClipProcessor.get_text_features(query)
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# Assert that the text embedding is not None.
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# # Assert that the text embedding is not None.
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assert text_features is not None
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# assert text_features is not None
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# Assert that the text embedding is a list of floats.
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# # Assert that the text embedding is a list of floats.
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assert isinstance(text_features, list)
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# assert isinstance(text_features, list)
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# Assert that the text embedding has the correct length.
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# # Assert that the text embedding has the correct length.
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assert len(text_features) == 512
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# assert len(text_features) == 512
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