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app.py

@@ -6,6 +6,7 @@ import string
 import streamlit as st
 from tensorflow.keras.models import load_model
 from tensorflow.keras.preprocessing.sequence import pad_sequences
+import os 
 
 # Abbreviations dictionary for job market
 abbreviations = {
@@ -102,14 +103,16 @@ abbreviations = {
 }
 
 
-# Load Spacy model
-try:
-    nlp = spacy.load("en_core_web_sm")
-except OSError:
-    # In case the model is not linked correctly, manually load from installed path
-    from spacy.cli import download
-    download("en_core_web_sm")
-    nlp = spacy.load("en_core_web_sm")
+def ensure_model_installed(model_name="en_core_web_sm"):
+    if not os.path.exists(spacy.util.get_model_path(model_name)):
+        print(f"Model {model_name} not found. Downloading...")
+        spacy.cli.download(model_name)
+    else:
+        print(f"Model {model_name} is already installed.")
+
+# Ensure the model is installed
+ensure_model_installed()
+nlp = spacy.load("en_core_web_sm")
 
 def expand_abbreviations(text, abbreviations):
     for abbr, expanded in abbreviations.items():

requirements.txt

@@ -1,6 +1,9 @@
-pickle5
-numpy
-streamlit
-tensorflow
-spacy==3.5.3
-https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
+pickle5
+numpy
+streamlit
+tensorflow
+# spacy==3.5.0
+# # SpaCy model
+# https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0.tar.gz
+spacy==3.5.3
+https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl