chore: remove outdated error message (#935)

There's an issue in unstructured-inference about these blocks trapping unrelated import errors. The fix for that would be to narrow the scope of the traps, but I think this is made redundant by the requires_dependencies decorator, so I removed it completely.

CHANGELOG.md

@@ -1,4 +1,4 @@
-## 0.8.2-dev3
+## 0.8.2-dev4
 
 ### Enhancements
 
@@ -18,6 +18,7 @@
 * Adds `.txt`, `.text`, and `.tab` to list of extensions to check if file
   has a `text/plain` MIME type.
 * Enables filters to be passed to `partition_doc` so it doesn't error with LibreOffice7.
+* Removed old error message that's superseded by `requires_dependencies`.
 
 ## 0.8.1
 

unstructured/__version__.py

@@ -1 +1 @@
-__version__ = "0.8.2-dev3"  # pragma: no cover
+__version__ = "0.8.2-dev4"  # pragma: no cover

unstructured/partition/pdf.py

@@ -189,25 +189,10 @@ def _partition_pdf_or_image_local(
     **kwargs,
 ) -> List[Element]:
     """Partition using package installed locally."""
-    try:
-        from unstructured_inference.inference.layout import (
-            process_data_with_model,
-            process_file_with_model,
-        )
-    except ModuleNotFoundError as e:
-        raise Exception(
-            "unstructured_inference module not found... try running pip install "
-            "unstructured[local-inference] if you installed the unstructured library as a package. "
-            "If you cloned the unstructured repository, try running make install-local-inference "
-            "from the root directory of the repository.",
-        ) from e
-    except ImportError as e:
-        raise Exception(
-            "There was a problem importing unstructured_inference module - it may not be installed "
-            "correctly... try running pip install unstructured[local-inference] if you installed "
-            "the unstructured library as a package. If you cloned the unstructured repository, try "
-            "running make install-local-inference from the root directory of the repository.",
-        ) from e
+    from unstructured_inference.inference.layout import (
+        process_data_with_model,
+        process_file_with_model,
+    )
 
     model_name = model_name if model_name else os.environ.get("UNSTRUCTURED_HI_RES_MODEL_NAME")
     if file is None:

unstructured/utils.py

@@ -50,8 +50,10 @@ def wrapper(*args, **kwargs):
 def dependency_exists(dependency):
     try:
         importlib.import_module(dependency)
-    except ImportError:
-        return False
+    except ImportError as e:
+        # Check to make sure this isn't some unrelated import error.
+        if dependency in repr(e):
+            return False
     return True