Update app.py

app.py

@@ -13,14 +13,11 @@ from sentence_transformers import SentenceTransformer
 import sentence_transformers
 import transformers
 
-import subprocess
+# Ensure spaCy transformer model is available
 subprocess.run(["python", "-m", "spacy", "download", "en_core_web_trf"])
-
-
 print("sentence-transformers:", sentence_transformers.__version__)
 print("transformers:", transformers.__version__)
 
-# --- Ensure spaCy transformer model is available ---
 try:
     nlp = spacy.load("en_core_web_trf")
 except OSError:
@@ -89,8 +86,8 @@ def fetch_jobs(keyword, country_code="us", max_results=5):
     return []
 
 def recommend_resources(field):
-    certs = cert_df[cert_df['Domain'].str.lower() == field].reset_index(drop=True)
-    scholarships = scholarship_df[scholarship_df['Domain'].str.lower() == field].reset_index(drop=True)
+    certs = cert_df[cert_df['Field'].str.lower() == field].reset_index(drop=True)
+    scholarships = scholarship_df[scholarship_df['Field'].str.lower() == field].reset_index(drop=True)
     edu = edu_tech_df if field == "engineering" else edu_non_tech_df
     return certs, scholarships, edu