Remove pytesseract references

src/autolabel/transforms/ocr.py

@@ -19,7 +19,8 @@
 
 
 class OCRTransform(BaseTransform):
-    """Extract text from documents using OCR.
+    """
+    Extract text from documents using OCR.
 
     The output columns dictionary for this class should include the keys 'content_column'
     and 'metadata_column'.
@@ -37,7 +38,8 @@ def __init__(
         url_column: str,
         lang: str | None = None,
     ) -> None:
-        """Initialize OCRTransform.
+        """
+        Initialize OCRTransform.
 
         Args:
             cache: Cache instance to use
@@ -51,32 +53,23 @@ def __init__(
         self.url_column = url_column
         self.lang = lang
         try:
-            import pytesseract
             from pdf2image import convert_from_path
 
-            self.pytesseract = pytesseract
             self.convert_from_path = convert_from_path
-            self.pytesseract.get_tesseract_version()
 
             self.client = boto3.client("textract")
 
         except ImportError:
             msg = (
-                "pillow, pytesseract, and pdf2image are required to use ocr"
-                "Please install with: pip install pillow pytesseract pdf2image"
+                "pillow, pdf2image are required to use ocr"
+                "Please install with: pip install pillow pdf2image"
             )
             raise ImportError(msg) from None
-        except OSError:
-            msg = (
-                "The tesseract engine is required to use the ocr transform. "
-                "Please see https://tesseract-ocr.github.io/tessdoc/Installation.html "
-                "for installation instructions."
-            )
-            raise OSError(msg) from None
 
     @staticmethod
     def name() -> str:
-        """Get transform name.
+        """
+        Get transform name.
 
         Returns:
             Transform type name
@@ -89,7 +82,8 @@ def default_ocr_processor(
         image_or_image_path: Image.Image | str,
         lang: str | None = None,
     ) -> str:
-        """Extract text from image using OCR.
+        """
+        Extract text from image using OCR.
 
         Args:
             image_or_image_path: PIL Image or path to image file
@@ -117,7 +111,8 @@ def default_ocr_processor(
         return "\n".join([block.get("Text", "") for block in blocks])
 
     def download_file(self, file_location: str) -> str:
-        """Download file from URL to temporary location.
+        """
+        Download file from URL to temporary location.
 
         Args:
             file_location: URL or path of file to download
@@ -141,7 +136,8 @@ def download_file(self, file_location: str) -> str:
         return temp_file.name
 
     async def _apply(self, row: dict[str, Any]) -> dict[str, Any]:
-        """Transform document into text using OCR.
+        """
+        Transform document into text using OCR.
 
         Args:
             row: Row of data to transform
@@ -177,7 +173,8 @@ async def _apply(self, row: dict[str, Any]) -> dict[str, Any]:
         return self._return_output_row(transformed_row)
 
     def params(self) -> dict[str, Any]:
-        """Get transform parameters.
+        """
+        Get transform parameters.
 
         Returns:
             Dict of parameters
@@ -190,7 +187,8 @@ def params(self) -> dict[str, Any]:
         }
 
     def input_columns(self) -> list[str]:
-        """Get required input columns.
+        """
+        Get required input columns.
 
         Returns:
             List of input column names