Source code for langchain_google_community.vision
from typing import Iterator, List, Optional
from langchain_core.document_loaders import BaseBlobParser, BaseLoader
from langchain_core.document_loaders.blob_loaders import Blob
from langchain_core.documents import Document
from langchain_google_community._utils import get_client_info
[docs]class CloudVisionParser(BaseBlobParser):
[docs] def __init__(self, project: Optional[str] = None):
try:
from google.cloud import vision # type: ignore[attr-defined]
except ImportError as e:
raise ImportError(
"Could not import google-cloud-vision python package. "
"Please, install vision dependency group: "
"poetry install --with vision"
) from e
client_options = None
if project:
client_options = {"quota_project_id": project}
self._client = vision.ImageAnnotatorClient(
client_options=client_options,
client_info=get_client_info(module="cloud-vision"),
)
[docs] def load(self, gcs_uri: str) -> Document:
"""Loads an image from GCS path to a Document, only the text."""
from google.cloud import vision # type: ignore[attr-defined]
image = vision.Image(source=vision.ImageSource(image_uri=gcs_uri))
text_detection_response = self._client.text_detection(image=image)
annotations = text_detection_response.text_annotations
if annotations:
text = annotations[0].description
else:
text = ""
return Document(page_content=text, metadata={"source": gcs_uri})
[docs] def lazy_parse(self, blob: Blob) -> Iterator[Document]:
yield self.load(blob.path) # type: ignore[arg-type]
[docs]class CloudVisionLoader(BaseLoader):
[docs] def __init__(self, file_path: str, project: Optional[str] = None):
try:
from google.cloud import vision # type: ignore[attr-defined]
except ImportError as e:
raise ImportError(
"Could not import google-cloud-vision python package. "
"Please, install vision dependency group: "
"`pip install langchain-google-community[vision]`"
) from e
client_options = None
if project:
client_options = {"quota_project_id": project}
self._client = vision.ImageAnnotatorClient(
client_options=client_options,
client_info=get_client_info(module="cloud-vision"),
)
self._file_path = file_path
[docs] def load(self) -> List[Document]:
"""Loads an image from GCS path to a Document, only the text."""
from google.cloud import vision # type: ignore[attr-defined]
image = vision.Image(source=vision.ImageSource(image_uri=self._file_path))
text_detection_response = self._client.text_detection(image=image)
annotations = text_detection_response.text_annotations
if annotations:
text = annotations[0].description
else:
text = ""
return [Document(page_content=text, metadata={"source": self._file_path})]