Update app.py

app.py

@@ -21,7 +21,6 @@ embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 device = "cuda" if torch.cuda.is_available() else "cpu"
 print(f"Running on: {device}")
 
-
 # Updated career database
 CAREER_RECOMMENDATIONS = [
     {"title": "Software Engineer", "description": "Develops software applications and systems", "skills":["Python","Java","C++","JavaScript", "Software Development","Database Management","Web Development", "Cloud Computing","Data Structures", "Algorithms"]},
@@ -67,6 +66,7 @@ def extract_text_from_pdf(file_path):
     except Exception as e:
         print(f"Error extracting PDF text: {e}")
         return ""
+
 def preprocess_cv_text(text):
     """
     Preprocess CV text for analysis