From de020cfad013c0978def43a20360e9fb4356db5c Mon Sep 17 00:00:00 2001 From: Bogdan Buduroiu Date: Tue, 11 Feb 2025 19:10:37 +0800 Subject: [PATCH 1/3] fix: catch RuntimeError for missing torch import --- semantic_router/encoders/huggingface.py | 10 +++++----- tests/unit/encoders/test_huggingface.py | 4 +++- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/semantic_router/encoders/huggingface.py b/semantic_router/encoders/huggingface.py index b659ebac..ede58dce 100644 --- a/semantic_router/encoders/huggingface.py +++ b/semantic_router/encoders/huggingface.py @@ -1,9 +1,9 @@ """ This module provides the HFEndpointEncoder class to embeddings models using Huggingface's endpoint. -The HFEndpointEncoder class is a subclass of DenseEncoder and utilizes a specified Huggingface -endpoint to generate embeddings for given documents. It requires the URL of the Huggingface -API endpoint and an API key for authentication. The class supports customization of the score +The HFEndpointEncoder class is a subclass of DenseEncoder and utilizes a specified Huggingface +endpoint to generate embeddings for given documents. It requires the URL of the Huggingface +API endpoint and an API key for authentication. The class supports customization of the score threshold for filtering or processing the embeddings. Example usage: @@ -50,7 +50,7 @@ def __init__(self, **data): def _initialize_hf_model(self): try: from transformers import AutoModel, AutoTokenizer - except ImportError: + except (ImportError, RuntimeError): raise ImportError( "Please install transformers to use HuggingFaceEncoder. " "You can install it with: " @@ -59,7 +59,7 @@ def _initialize_hf_model(self): try: import torch - except ImportError: + except RuntimeError: raise ImportError( "Please install Pytorch to use HuggingFaceEncoder. " "You can install it with: " diff --git a/tests/unit/encoders/test_huggingface.py b/tests/unit/encoders/test_huggingface.py index 1677a450..76f28f5b 100644 --- a/tests/unit/encoders/test_huggingface.py +++ b/tests/unit/encoders/test_huggingface.py @@ -26,7 +26,9 @@ def test_huggingface_encoder_import_errors_torch(self): with pytest.raises(ImportError) as error: HuggingFaceEncoder() - assert "Please install Pytorch to use HuggingFaceEncoder" in str(error.value) + assert "Please install transformers to use HuggingFaceEncoder" in str( + error.value + ) @pytest.mark.skipif( os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run" From 62c2814cdd810f83e492ae3d80cd515ab9dfd90e Mon Sep 17 00:00:00 2001 From: James Briggs <35938317+jamescalam@users.noreply.github.com> Date: Tue, 11 Feb 2025 20:30:54 +0400 Subject: [PATCH 2/3] chore: update pyproject --- poetry.lock | 849 ++++++++++++++++++++++++------------------------- pyproject.toml | 12 +- 2 files changed, 419 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groups = ["main"] -markers = "python_version < \"3.13\" and (extra == \"local\" or extra == \"vision\")" +markers = "extra == \"local\" or extra == \"vision\"" files = [ - {file = "transformers-4.48.1-py3-none-any.whl", hash = "sha256:24be0564b0a36d9e433d9a65de248f1545b6f6edce1737669605eb6a8141bbbb"}, - {file = "transformers-4.48.1.tar.gz", hash = "sha256:7c1931facc3ee8adcbf86fc7a87461d54c1e40eca3bb57fef1ee9f3ecd32187e"}, + {file = "transformers-4.48.3-py3-none-any.whl", hash = "sha256:78697f990f5ef350c23b46bf86d5081ce96b49479ab180b2de7687267de8fd36"}, + {file = "transformers-4.48.3.tar.gz", hash = "sha256:a5e8f1e9a6430aa78215836be70cecd3f872d99eeda300f41ad6cc841724afdb"}, ] [package.dependencies] @@ -5684,4 +5661,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<3.14" -content-hash = "b89e6282250711c2c36696b57ef8798bcb1d549ef00822e95a523f627994c382" +content-hash = "bd5573a9300d2f82e42c9b06b756508147a4b6286768629c4147bf686f51232b" diff --git a/pyproject.toml b/pyproject.toml index c8d93b34..b0c0643e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,15 +18,15 @@ colorlog = "^6.8.0" pyyaml = "^6.0.1" aurelio-sdk = {version = "^0.0.18"} pinecone-text = {version = ">=0.7.1", optional = true} -torch = {version = ">=2.1.0,<2.6.0", optional = true, python = "<3.13" } -transformers = {version = ">=4.36.2", optional = true, python = "<3.13" } -tokenizers = {version = ">=0.19", optional = true, python = "<3.13" } -llama-cpp-python = {version = ">=0.2.28,<0.2.86", optional = true, python = "<3.13" } +torch = {version = ">=2.1.0,<2.6.0", optional = true } +transformers = {version = ">=4.36.2", optional = true } +tokenizers = {version = ">=0.19", optional = true } +llama-cpp-python = {version = ">=0.2.28,<0.2.86", optional = true } colorama = "^0.4.6" pinecone = {version=">=5.0.0", optional = true} regex = ">=2023.12.25" -torchvision = { version = ">=0.17.0,<0.18.0", optional = true, python = "<3.13" } -pillow = { version = ">=10.2.0,<11.0.0", optional = true, python = "<3.13" } +torchvision = { version = ">=0.17.0,<0.18.0", optional = true } +pillow = { version = ">=10.2.0,<11.0.0", optional = true } tiktoken = ">=0.6.0,<1.0.0" qdrant-client = {version = "^1.11.1", optional = true} google-cloud-aiplatform = {version = "^1.45.0", optional = true} From 58e5a1314eb987eba263bf0342ebfc8e3f1ce5eb Mon Sep 17 00:00:00 2001 From: Bogdan Buduroiu Date: Thu, 13 Feb 2025 14:35:34 +0800 Subject: [PATCH 3/3] fix: attempt importing Pytorch first --- semantic_router/encoders/huggingface.py | 16 ++++++++-------- tests/unit/encoders/test_huggingface.py | 4 +--- 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/semantic_router/encoders/huggingface.py b/semantic_router/encoders/huggingface.py index ede58dce..67ea71ff 100644 --- a/semantic_router/encoders/huggingface.py +++ b/semantic_router/encoders/huggingface.py @@ -49,25 +49,25 @@ def __init__(self, **data): def _initialize_hf_model(self): try: - from transformers import AutoModel, AutoTokenizer - except (ImportError, RuntimeError): + import torch + except (RuntimeError, ModuleNotFoundError): raise ImportError( - "Please install transformers to use HuggingFaceEncoder. " + "Please install Pytorch to use HuggingFaceEncoder. " "You can install it with: " "`pip install semantic-router[local]`" ) + self._torch = torch + try: - import torch - except RuntimeError: + from transformers import AutoModel, AutoTokenizer + except (ImportError, RuntimeError): raise ImportError( - "Please install Pytorch to use HuggingFaceEncoder. " + "Please install transformers to use HuggingFaceEncoder. " "You can install it with: " "`pip install semantic-router[local]`" ) - self._torch = torch - tokenizer = AutoTokenizer.from_pretrained( self.name, **self.tokenizer_kwargs, diff --git a/tests/unit/encoders/test_huggingface.py b/tests/unit/encoders/test_huggingface.py index 76f28f5b..1677a450 100644 --- a/tests/unit/encoders/test_huggingface.py +++ b/tests/unit/encoders/test_huggingface.py @@ -26,9 +26,7 @@ def test_huggingface_encoder_import_errors_torch(self): with pytest.raises(ImportError) as error: HuggingFaceEncoder() - assert "Please install transformers to use HuggingFaceEncoder" in str( - error.value - ) + assert "Please install Pytorch to use HuggingFaceEncoder" in str(error.value) @pytest.mark.skipif( os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"