Update app.py

app.py

@@ -1 +1,37 @@
-REPLACE_WITH_FINAL_APP_CODE
+import streamlit as st
+from utils.parser import parse_cv, extract_education_level, identify_cv_type
+from utils.cv_scoring import calculate_cv_score
+from utils.suggestions import (
+    get_certification_suggestions,
+    get_higher_education_suggestions,
+    get_visa_recommendations,
+    get_career_advice,
+    get_job_listings,
+)
+import base64
+import io
+import datetime
+
+st.title("Universal Smart CV Analyzer & Career Roadmap")
+
+uploaded_file = st.file_uploader("Upload your CV in PDF format", type=["pdf"])
+
+if uploaded_file is not None:
+    # Save uploaded file temporarily
+    with open("temp_cv.pdf", "wb") as f:
+        f.write(uploaded_file.getbuffer())
+
+    # Parse CV
+    parsed_text = parse_cv("temp_cv.pdf")
+    education_level = extract_education_level(parsed_text)
+    cv_type = identify_cv_type(parsed_text)
+    score, score_breakdown = calculate_cv_score(parsed_text, education_level)
+
+    st.header("CV Analysis Results")
+    st.write(f"**CV Type:** {cv_type}")
+    st.write(f"**Education Level:** {education_level}")
+    st.write(f"### Overall CV Score: {score} / 100")
+    st.write("### Score Breakdown:")
+    
+for k, v in score_breakdown.items():
+    st.write(f"- {k}: {v}")