Fix non-space whitespace characters destroying predictions

src/utils.py

@@ -6,7 +6,8 @@ from typing import Optional
 
 import yaml
 
-PROJECT_ROOT = os.path.dirname(os.path.realpath("/".join(__file__.split("/")) + "/.."))
+PROJECT_ROOT = os.path.dirname(os.path.realpath(
+    "/".join(__file__.split("/")) + "/.."))
 
 
 def get_config() -> dict:
@@ -52,6 +53,26 @@ def remove_punctuation(text: str) -> str:
     return "".join(filter(lambda x: x.isalnum() or x.isspace(), text))
 
 
+def unify_whitespaces(text: str) -> str:
+    """Maps all whitespace characters into a simple ' '
+
+    Args:
+        text (str): Text containing multiple forms of whitespace
+
+    Returns:
+        str: Text with a single form of whitespace
+    """
+    result = ""
+
+    for c in text:
+        if c.isspace():
+            result += " "
+        else:
+            result += c
+
+    return result
+
+
 def preprocess(text: str) -> str:
     """Makes sure that input is in the same format as training data (no non-alphanum chars, no double spaces,
         all lowercase etc.)
@@ -63,6 +84,7 @@ def preprocess(text: str) -> str:
         str: Text in training-data format
     """
     text = remove_punctuation(text)
+    text = unify_whitespaces(text)
     text = remove_multiple_spaces(text)
     text = text.lower()
     text = text.strip()

worker.py

@@ -23,11 +23,14 @@ class Worker(nlp_ws.NLPWorker):
             self.config["deployment"]["device"],
         )
 
+        self.model.train(False)
+
     def process(self, input_file: str, task_options: dict, output_file: str) -> None:
         """Implementation of example tasks that copies files."""
 
         with open(input_file, "r") as f:
-            text = preprocess(f.read())
+            text = str(f.read())
+            text = preprocess(text)
             text_processed = apply_actions_punctuation(
                 text, self.chunk_size, self.tokenizer, self.model, self.threshold
             )