Update model.py

model.py

@@ -1,6 +1,5 @@
 import pdfplumber
 import spacy
-import re
 
 # Load NLP Model
 nlp = spacy.load("en_core_web_sm")
@@ -9,6 +8,7 @@ nlp = spacy.load("en_core_web_sm")
 REQUIRED_SKILLS = {"Python", "Machine Learning", "NLP", "Deep Learning", "AI", "Data Science", "Cloud", "Hugging Face"}
 
 def extract_text_from_pdf(pdf_path):
+    """Extract text from a resume PDF"""
     text = ""
     with pdfplumber.open(pdf_path) as pdf:
         for page in pdf.pages:
@@ -16,14 +16,15 @@ def extract_text_from_pdf(pdf_path):
     return text.strip()
 
 def analyze_resume(text):
+    """Analyze the resume text and provide ATS recommendations"""
     doc = nlp(text)
 
-    # Extract skills and education
+    # Extract skills
     words = set([token.text for token in doc if token.is_alpha])
     matched_skills = REQUIRED_SKILLS.intersection(words)
     missing_skills = REQUIRED_SKILLS - matched_skills
 
-    # Basic ATS Check
+    # Calculate ATS Score
     ats_score = (len(matched_skills) / len(REQUIRED_SKILLS)) * 100
 
     return {