Minor: Remove duplicated word in error message (#2706)

Removed the duplicated word "it" from the error message.
From:
`Please it install it with xxx`
To:
`Please install it with xxx`.

langchain/chains/llm_requests.py

@@ -57,7 +57,7 @@ class LLMRequestsChain(Chain):
         except ImportError:
             raise ValueError(
                 "Could not import bs4 python package. "
-                "Please it install it with `pip install bs4`."
+                "Please install it with `pip install bs4`."
             )
         return values
 

langchain/chains/moderation.py

@@ -55,7 +55,7 @@ class OpenAIModerationChain(Chain):
         except ImportError:
             raise ValueError(
                 "Could not import openai python package. "
-                "Please it install it with `pip install openai`."
+                "Please install it with `pip install openai`."
             )
         return values
 

langchain/chains/natbot/crawler.py

@@ -53,7 +53,7 @@ class Crawler:
         except ImportError:
             raise ValueError(
                 "Could not import playwright python package. "
-                "Please it install it with `pip install playwright`."
+                "Please install it with `pip install playwright`."
             )
         self.browser: Browser = (
             sync_playwright().start().chromium.launch(headless=False)

langchain/chat_models/azure_openai.py

@@ -87,7 +87,7 @@ class AzureChatOpenAI(ChatOpenAI):
         except ImportError:
             raise ValueError(
                 "Could not import openai python package. "
-                "Please it install it with `pip install openai`."
+                "Please install it with `pip install openai`."
             )
         try:
             values["client"] = openai.ChatCompletion

langchain/chat_models/openai.py

@@ -167,7 +167,7 @@ class ChatOpenAI(BaseChatModel):
         except ImportError:
             raise ValueError(
                 "Could not import openai python package. "
-                "Please it install it with `pip install openai`."
+                "Please install it with `pip install openai`."
             )
         try:
             values["client"] = openai.ChatCompletion
@@ -336,7 +336,7 @@ class ChatOpenAI(BaseChatModel):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to calculate get_num_tokens. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
         # create a GPT-3.5-Turbo encoder instance
         enc = tiktoken.encoding_for_model(self.model_name)
@@ -358,7 +358,7 @@ class ChatOpenAI(BaseChatModel):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to calculate get_num_tokens. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
 
         model = self.model_name

langchain/document_loaders/azure_blob_storage_container.py

@@ -24,7 +24,7 @@ class AzureBlobStorageContainerLoader(BaseLoader):
         except ImportError as exc:
             raise ValueError(
                 "Could not import azure storage blob python package. "
-                "Please it install it with `pip install azure-storage-blob`."
+                "Please install it with `pip install azure-storage-blob`."
             ) from exc
 
         container = ContainerClient.from_connection_string(

langchain/document_loaders/azure_blob_storage_file.py

@@ -24,7 +24,7 @@ class AzureBlobStorageFileLoader(BaseLoader):
         except ImportError as exc:
             raise ValueError(
                 "Could not import azure storage blob python package. "
-                "Please it install it with `pip install azure-storage-blob`."
+                "Please install it with `pip install azure-storage-blob`."
             ) from exc
 
         client = BlobClient.from_connection_string(

langchain/document_loaders/duckdb_loader.py

@@ -35,7 +35,7 @@ class DuckDBLoader(BaseLoader):
         except ImportError:
             raise ValueError(
                 "Could not import duckdb python package. "
-                "Please it install it with `pip install duckdb`."
+                "Please install it with `pip install duckdb`."
             )
 
         docs = []

langchain/document_loaders/gcs_directory.py

@@ -22,7 +22,7 @@ class GCSDirectoryLoader(BaseLoader):
         except ImportError:
             raise ValueError(
                 "Could not import google-cloud-storage python package. "
-                "Please it install it with `pip install google-cloud-storage`."
+                "Please install it with `pip install google-cloud-storage`."
             )
         client = storage.Client(project=self.project_name)
         docs = []

langchain/document_loaders/gcs_file.py

@@ -23,7 +23,7 @@ class GCSFileLoader(BaseLoader):
         except ImportError:
             raise ValueError(
                 "Could not import google-cloud-storage python package. "
-                "Please it install it with `pip install google-cloud-storage`."
+                "Please install it with `pip install google-cloud-storage`."
             )
 
         # Initialise a client

langchain/document_loaders/s3_directory.py

@@ -21,7 +21,7 @@ class S3DirectoryLoader(BaseLoader):
         except ImportError:
             raise ValueError(
                 "Could not import boto3 python package. "
-                "Please it install it with `pip install boto3`."
+                "Please install it with `pip install boto3`."
             )
         s3 = boto3.resource("s3")
         bucket = s3.Bucket(self.bucket)

langchain/document_loaders/s3_file.py

@@ -23,7 +23,7 @@ class S3FileLoader(BaseLoader):
         except ImportError:
             raise ValueError(
                 "Could not import boto3 python package. "
-                "Please it install it with `pip install boto3`."
+                "Please install it with `pip install boto3`."
             )
         s3 = boto3.client("s3")
         with tempfile.TemporaryDirectory() as temp_dir:

langchain/document_loaders/youtube.py

@@ -118,7 +118,7 @@ class YoutubeLoader(BaseLoader):
         except ImportError:
             raise ImportError(
                 "Could not import youtube_transcript_api python package. "
-                "Please it install it with `pip install youtube-transcript-api`."
+                "Please install it with `pip install youtube-transcript-api`."
             )
 
         metadata = {"source": self.video_id}
@@ -159,7 +159,7 @@ class YoutubeLoader(BaseLoader):
         except ImportError:
             raise ImportError(
                 "Could not import pytube python package. "
-                "Please it install it with `pip install pytube`."
+                "Please install it with `pip install pytube`."
             )
         yt = YouTube(f"https://www.youtube.com/watch?v={self.video_id}")
         video_info = {

langchain/embeddings/aleph_alpha.py

@@ -58,7 +58,7 @@ class AlephAlphaAsymmetricSemanticEmbedding(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import aleph_alpha_client python package. "
-                "Please it install it with `pip install aleph_alpha_client`."
+                "Please install it with `pip install aleph_alpha_client`."
             )
         values["client"] = Client(token=aleph_alpha_api_key)
         return values
@@ -81,7 +81,7 @@ class AlephAlphaAsymmetricSemanticEmbedding(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import aleph_alpha_client python package. "
-                "Please it install it with `pip install aleph_alpha_client`."
+                "Please install it with `pip install aleph_alpha_client`."
             )
         document_embeddings = []
 
@@ -121,7 +121,7 @@ class AlephAlphaAsymmetricSemanticEmbedding(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import aleph_alpha_client python package. "
-                "Please it install it with `pip install aleph_alpha_client`."
+                "Please install it with `pip install aleph_alpha_client`."
             )
         symmetric_params = {
             "prompt": Prompt.from_text(text),
@@ -166,7 +166,7 @@ class AlephAlphaSymmetricSemanticEmbedding(AlephAlphaAsymmetricSemanticEmbedding
         except ImportError:
             raise ValueError(
                 "Could not import aleph_alpha_client python package. "
-                "Please it install it with `pip install aleph_alpha_client`."
+                "Please install it with `pip install aleph_alpha_client`."
             )
         query_params = {
             "prompt": Prompt.from_text(text),

langchain/embeddings/cohere.py

@@ -48,7 +48,7 @@ class CohereEmbeddings(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import cohere python package. "
-                "Please it install it with `pip install cohere`."
+                "Please install it with `pip install cohere`."
             )
         return values
 

langchain/embeddings/huggingface_hub.py

@@ -73,7 +73,7 @@ class HuggingFaceHubEmbeddings(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import huggingface_hub python package. "
-                "Please it install it with `pip install huggingface_hub`."
+                "Please install it with `pip install huggingface_hub`."
             )
         return values
 

langchain/embeddings/jina.py

@@ -36,7 +36,7 @@ class JinaEmbeddings(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import `jina` python package. "
-                "Please it install it with `pip install jina`."
+                "Please install it with `pip install jina`."
             )
 
         # Setup client

langchain/embeddings/openai.py

@@ -188,7 +188,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import openai python package. "
-                "Please it install it with `pip install openai`."
+                "Please install it with `pip install openai`."
             )
         return values
 
@@ -242,7 +242,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to for OpenAIEmbeddings. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
 
     def _embedding_func(self, text: str, *, engine: str) -> List[float]:

langchain/embeddings/sagemaker_endpoint.py

@@ -131,7 +131,7 @@ class SagemakerEndpointEmbeddings(BaseModel, Embeddings):
         except ImportError:
             raise ValueError(
                 "Could not import boto3 python package. "
-                "Please it install it with `pip install boto3`."
+                "Please install it with `pip install boto3`."
             )
         return values
 

langchain/graphs/networkx_graph.py

@@ -56,7 +56,7 @@ class NetworkxEntityGraph:
         except ImportError:
             raise ValueError(
                 "Could not import networkx python package. "
-                "Please it install it with `pip install networkx`."
+                "Please install it with `pip install networkx`."
             )
         if graph is not None:
             if not isinstance(graph, nx.DiGraph):
@@ -72,7 +72,7 @@ class NetworkxEntityGraph:
         except ImportError:
             raise ValueError(
                 "Could not import networkx python package. "
-                "Please it install it with `pip install networkx`."
+                "Please install it with `pip install networkx`."
             )
         graph = nx.read_gml(gml_path)
         return cls(graph)

langchain/llms/aleph_alpha.py

@@ -149,7 +149,7 @@ class AlephAlpha(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import aleph_alpha_client python package. "
-                "Please it install it with `pip install aleph_alpha_client`."
+                "Please install it with `pip install aleph_alpha_client`."
             )
         return values
 

langchain/llms/anthropic.py

@@ -76,7 +76,7 @@ class Anthropic(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import anthropic python package. "
-                "Please it install it with `pip install anthropic`."
+                "Please install it with `pip install anthropic`."
             )
         return values
 

langchain/llms/cohere.py

@@ -73,7 +73,7 @@ class Cohere(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import cohere python package. "
-                "Please it install it with `pip install cohere`."
+                "Please install it with `pip install cohere`."
             )
         return values
 

langchain/llms/huggingface_endpoint.py

@@ -70,7 +70,7 @@ class HuggingFaceEndpoint(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import huggingface_hub python package. "
-                "Please it install it with `pip install huggingface_hub`."
+                "Please install it with `pip install huggingface_hub`."
             )
         return values
 

langchain/llms/huggingface_hub.py

@@ -66,7 +66,7 @@ class HuggingFaceHub(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import huggingface_hub python package. "
-                "Please it install it with `pip install huggingface_hub`."
+                "Please install it with `pip install huggingface_hub`."
             )
         return values
 

langchain/llms/manifest.py

@@ -28,7 +28,7 @@ class ManifestWrapper(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import manifest python package. "
-                "Please it install it with `pip install manifest-ml`."
+                "Please install it with `pip install manifest-ml`."
             )
         return values
 

langchain/llms/nlpcloud.py

@@ -76,7 +76,7 @@ class NLPCloud(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import nlpcloud python package. "
-                "Please it install it with `pip install nlpcloud`."
+                "Please install it with `pip install nlpcloud`."
             )
         return values
 

langchain/llms/openai.py

@@ -446,7 +446,7 @@ class BaseOpenAI(BaseLLM):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to calculate get_num_tokens. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
         encoder = "gpt2"
         if self.model_name in ("text-davinci-003", "text-davinci-002"):
@@ -611,7 +611,7 @@ class OpenAIChat(BaseLLM):
         except ImportError:
             raise ValueError(
                 "Could not import openai python package. "
-                "Please it install it with `pip install openai`."
+                "Please install it with `pip install openai`."
             )
         try:
             values["client"] = openai.ChatCompletion
@@ -742,7 +742,7 @@ class OpenAIChat(BaseLLM):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to calculate get_num_tokens. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
         # create a GPT-3.5-Turbo encoder instance
         enc = tiktoken.encoding_for_model("gpt-3.5-turbo")

langchain/llms/sagemaker_endpoint.py

@@ -176,7 +176,7 @@ class SagemakerEndpoint(LLM):
         except ImportError:
             raise ValueError(
                 "Could not import boto3 python package. "
-                "Please it install it with `pip install boto3`."
+                "Please install it with `pip install boto3`."
             )
         return values
 

langchain/schema.py

@@ -194,7 +194,7 @@ class BaseLanguageModel(BaseModel, ABC):
             raise ValueError(
                 "Could not import transformers python package. "
                 "This is needed in order to calculate get_num_tokens. "
-                "Please it install it with `pip install transformers`."
+                "Please install it with `pip install transformers`."
             )
         # create a GPT-3 tokenizer instance
         tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")

langchain/text_splitter.py

@@ -131,7 +131,7 @@ class TextSplitter(ABC):
         except ImportError:
             raise ValueError(
                 "Could not import transformers python package. "
-                "Please it install it with `pip install transformers`."
+                "Please install it with `pip install transformers`."
             )
         return cls(length_function=_huggingface_tokenizer_length, **kwargs)
 
@@ -150,7 +150,7 @@ class TextSplitter(ABC):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to calculate max_tokens_for_prompt. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
 
         # create a GPT-3 encoder instance
@@ -205,7 +205,7 @@ class TokenTextSplitter(TextSplitter):
             raise ValueError(
                 "Could not import tiktoken python package. "
                 "This is needed in order to for TokenTextSplitter. "
-                "Please it install it with `pip install tiktoken`."
+                "Please install it with `pip install tiktoken`."
             )
         # create a GPT-3 encoder instance
         self._tokenizer = tiktoken.get_encoding(encoding_name)

langchain/utilities/wikipedia.py

@@ -31,7 +31,7 @@ class WikipediaAPIWrapper(BaseModel):
         except ImportError:
             raise ValueError(
                 "Could not import wikipedia python package. "
-                "Please it install it with `pip install wikipedia`."
+                "Please install it with `pip install wikipedia`."
             )
         return values