Update app.py

app.py

@@ -5,8 +5,10 @@ import torch
 from sentence_transformers import SentenceTransformer
 from model import JobRecommendationSystem
 
-# ----------------- CACHE HEAVY STUFF -----------------
+# ----------------- PAGE CONFIG (must be FIRST) -----------------
+st.set_page_config(page_title="AI Job Recommender", page_icon="💼", layout="wide")
 
+# ----------------- CACHE HEAVY STUFF -----------------
 @st.cache_resource
 def load_model():
     """Load and quantize the SentenceTransformer model once"""
@@ -18,16 +20,13 @@ def load_model():
 
 @st.cache_resource
 def load_recommender():
-    """Load recommender system once with cached embeddings + FAISS index"""
+    """Load recommender system once with cached embeddings"""
     return JobRecommendationSystem("JobsFE.csv")
 
 MODEL = load_model()
 recommender = load_recommender()
 
-# ----------------- STREAMLIT APP -----------------
-
-st.set_page_config(page_title="AI Job Recommender", page_icon="💼", layout="wide")
-
+# ----------------- STREAMLIT UI -----------------
 st.markdown(
     """
     <style>
@@ -59,12 +58,9 @@ st.markdown(
 )
 
 st.title("💼 AI-Powered Job Recommendation System")
+st.write("📄 Upload your resume as a **PDF file** and get tailored job recommendations with direct apply links.")
 
-st.write(
-    "📄 Upload your resume as a **PDF file** and get tailored job recommendations with direct apply links."
-)
-
-# File uploader for PDF resume
+# ----------------- FILE UPLOADER -----------------
 uploaded_file = st.file_uploader("Upload your resume (PDF only)", type=["pdf"], help="Only PDF resumes are supported.")
 
 def extract_text_from_pdf(pdf_file):
@@ -74,11 +70,11 @@ def extract_text_from_pdf(pdf_file):
     return text.strip()
 
 resume_text = ""
-
 if uploaded_file:
     with st.spinner("⏳ Extracting text from your resume..."):
         resume_text = extract_text_from_pdf(uploaded_file)
 
+# ----------------- JOB RECOMMENDATIONS -----------------
 if st.button("🔍 Recommend Jobs"):
     if resume_text:
         with st.spinner("🤖 Analyzing your resume and finding best matches..."):
@@ -86,53 +82,42 @@ if st.button("🔍 Recommend Jobs"):
 
         st.success(f"✅ Found {len(job_results)} job recommendations for you!")
 
-        # Display recommended jobs
         for i, job in enumerate(job_results, start=1):
             with st.container():
                 st.markdown('<div class="recommend-card">', unsafe_allow_html=True)
 
-                # Title + Company
                 st.markdown(f"<div class='job-title'> {i}. {job.get('position', 'N/A')} </div>", unsafe_allow_html=True)
                 st.markdown(
                     f"<div class='company-name'>🏢 {job.get('workplace', 'N/A')} ({job.get('formatted_work_type', 'N/A')})</div>",
                     unsafe_allow_html=True,
                 )
 
-                # Salary Range
                 if job.get("salary_range") and "N/A" not in job.get("salary_range"):
                     st.markdown(f"<div class='salary'>💰 {job['salary_range']}</div>", unsafe_allow_html=True)
 
-                # Experience
                 if job.get("experience_level") and job.get("experience_level") != "N/A":
                     st.write(f"**🎯 Experience Level:** {job['experience_level']}")
 
-                # Duties
                 if job.get("job_role_and_duties"):
                     st.write(f"**📝 Duties:** {job['job_role_and_duties']}")
 
-                # Skills
                 if job.get("skills"):
                     st.write(f"**🛠 Required Skills:** {job['skills']}")
 
-                # Benefits
                 if job.get("benefits"):
                     st.write(f"**🎁 Benefits:** {job['benefits']}")
 
-                # Location
                 if job.get("location") and job.get("location").strip(", "):
                     st.write(f"**📍 Location:** {job['location']}")
 
-                # Company size & employees
                 if job.get("company_size") and job.get("company_size") != "N/A":
                     st.write(f"**🏢 Company Size:** {job['company_size']}")
                 if job.get("employee_count") and job.get("employee_count") != "N/A":
                     st.write(f"**👥 Employees:** {job['employee_count']}")
 
-                # Company website
                 if job.get("company_website") and job.get("company_website") != "N/A":
                     st.markdown(f"[🌐 Company Website]({job['company_website']})", unsafe_allow_html=True)
 
-                # Apply Links
                 if job.get("apply_link") and job.get("apply_link") != "N/A":
                     st.markdown(f"[👉 Apply Here]({job['apply_link']})", unsafe_allow_html=True)