Feature/CRF++ and server side locales (#731)

* add universal toast plugin

* add server side locales

* integrate CRF++ into CI/CD Pipeline

* docs(docs): 📝 add recipe parser docs

* feat(backend): ✨ Continued work on ingredient parsers

* add new model dest

* feat(frontend): ✨ New ingredient parser page

* formatting

Co-authored-by: Hayden <hay-kot@pm.me>

tests/unit_tests/test_crfpp_parser.py

@@ -0,0 +1,43 @@
+from dataclasses import dataclass
+from fractions import Fraction
+
+import pytest
+
+from mealie.services.parser_services.crfpp.processor import CRFIngredient, convert_list_to_crf_model
+
+
+@dataclass
+class TestIngredient:
+    input: str
+    quantity: float
+    unit: str
+    food: str
+    comments: str
+
+
+# TODO - add more robust test cases
+test_ingredients = [
+    TestIngredient("½ cup all-purpose flour", 0.5, "cup", "all-purpose flour", ""),
+    TestIngredient("1 ½ teaspoons ground black pepper", 1.5, "teaspoon", "black pepper", "ground"),
+    TestIngredient("⅔ cup unsweetened flaked coconut", 0.7, "cup", "coconut", "unsweetened flaked"),
+    TestIngredient("⅓ cup panko bread crumbs", 0.3, "cup", "panko bread crumbs", ""),
+]
+
+
+def crf_exists() -> bool:
+    import shutil
+
+    return shutil.which("crf_test") is not None
+
+
+@pytest.mark.skipif(not crf_exists(), reason="CRF++ not installed")
+def test_nlp_parser():
+    models: list[CRFIngredient] = convert_list_to_crf_model([x.input for x in test_ingredients])
+
+    # Itterate over mdoels and test_ingreidnets to gether
+    for model, test_ingredient in zip(models, test_ingredients):
+        assert float(sum(Fraction(s) for s in model.qty.split())) == test_ingredient.quantity
+
+        assert model.comment == test_ingredient.comments
+        assert model.name == test_ingredient.food
+        assert model.unit == test_ingredient.unit