Fixed Model Dependency

Author: Arko-Sengupta

machine_learning/cosine_similarity.py

@@ -29,6 +29,16 @@ def __init__(self) -> None:
         """
         self.nlp = spacy.load("en_core_web_md")
 
+    def model_download(self):
+        """
+        Downloads the SpaCy Model if it has not been downloaded before.
+        """
+        try:
+            spacy.cli.download("en_core_web_md")
+        except Exception as e:
+            logging.error("An Error Occured: ", exc_info=e)
+            raise e
+
     def tokenize(self, text: str) -> list:
         """
         Tokenizes the input text into a list of lowercased tokens.
@@ -160,6 +170,8 @@ def cosine_similarity_percentage(self, text1: str, text2: str) -> float:
         - float: The cosine similarity percentage between the two texts.
         """
         try:
+            self.model_download() # Comment if Installed
+
             tokens1 = self.tokenize(text1)
             tokens2 = self.tokenize(text2)
 
@@ -186,6 +198,7 @@ def cosine_similarity_percentage(self, text1: str, text2: str) -> float:
     text1 = "The biggest Infrastructure in the World is Burj Khalifa"
     text2 = "The name of the talllest Tower in the world is Burj Khalifa"
 
+    spacy.cli.download("en_core_web_md")
     similarity_percentage = CosineSimilarity().cosine_similarity_percentage(
         text1, text2
     )

requirements.txt

@@ -15,7 +15,7 @@ requests
 rich
 # scikit-fuzzy  # uncomment once fuzzy_logic/fuzzy_operations.py is fixed
 scikit-learn
-spacy
+spacy>=3.7.6
 statsmodels
 sympy
 tensorflow