Create app.py

app.py

@@ -0,0 +1,51 @@
+# Directory structure:
+# - app.py
+# - utils.py
+# - job_api.py
+# - requirements.txt
+# - assets/ (for optional icons/images)
+
+# app.py
+import streamlit as st
+from utils import parse_resume, get_recommendations, load_models, generate_career_insights
+from job_api import fetch_jobs
+
+st.set_page_config(page_title="Universal CV Analyzer", layout="wide")
+
+st.title("📄 Universal Smart CV Analyzer & Career Roadmap")
+
+uploaded_file = st.file_uploader("Upload your CV (PDF)", type="pdf")
+
+if uploaded_file:
+    with st.spinner("Analyzing your CV. Please wait..."):
+        nlp, llm = load_models()
+        text, parsed = parse_resume(uploaded_file, nlp)
+        st.success("✅ Resume parsed successfully")
+
+        st.header("🔍 CV Summary & Score")
+        st.json(parsed)
+        score, feedback = get_recommendations(parsed)
+        st.metric(label="CV Score (out of 100)", value=score)
+        st.write("**Suggestions to improve:**")
+        st.write(feedback)
+
+        st.header("💼 Live Job Listings")
+        jobs = fetch_jobs(parsed)
+        for job in jobs:
+            st.markdown(f"**{job['title']}** at {job['company']}\n\n{job['location']} - {job['salary']}\n\n[Apply]({job['url']})")
+
+        st.header("🎓 Certification & Higher Education Suggestions")
+        certs = generate_career_insights(parsed, llm, suggestion_type="certifications")
+        degrees = generate_career_insights(parsed, llm, suggestion_type="degrees")
+        st.write("**Recommended Certifications:**")
+        st.write(certs)
+        st.write("**Higher Education Paths:**")
+        st.write(degrees)
+
+        st.header("🧭 Personalized Career Roadmap & Visa Advice")
+        roadmap = generate_career_insights(parsed, llm, suggestion_type="roadmap")
+        st.write(roadmap)
+
+        st.header("🧠 Career Counselor Advice")
+        advice = generate_career_insights(parsed, llm, suggestion_type="counselor")
+        st.write(advice)