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import streamlit as st
import base64
import os
import tempfile
from utils import (
parse_cv,
identify_field_with_llm,
generate_skill_score,
generate_llm_suggestions,
get_live_jobs,
generate_counselor_response,
generate_pdf_report
)
st.set_page_config(page_title="Smart CV Analyzer", layout="wide")
st.title("📄 Universal Smart CV Analyzer & Career Roadmap")
uploaded_file = st.file_uploader("Upload your CV (PDF format)", type=["pdf"])
if uploaded_file:
with st.spinner("Parsing CV..."):
with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
tmp_file.write(uploaded_file.read())
tmp_path = tmp_file.name
raw_text = parse_cv(tmp_path)
os.unlink(tmp_path)
st.subheader("🧠 CV Extracted Text")
st.text_area("Extracted CV Content", raw_text, height=250)
with st.spinner("🔍 Identifying field/domain..."):
field = identify_field_with_llm(raw_text)
st.success(f"Detected Field: {field}")
with st.spinner("📊 Generating Skill Score..."):
score = generate_skill_score(raw_text)
st.metric("Skill Score (0–100)", score)
with st.spinner("🧠 Generating AI-based suggestions..."):
suggestions = generate_llm_suggestions(raw_text, field)
st.subheader("📌 Career Suggestions")
st.markdown(f"**Upskilling Skills:** {', '.join(suggestions['skills'])}")
st.markdown(f"**Certifications:** {', '.join(suggestions['certifications'])}")
st.markdown(f"**Scholarships:** {', '.join(suggestions['scholarships'])}")
st.markdown(f"**Education Opportunities:** {', '.join(suggestions['education'])}")
st.markdown(f"**Visa Pathways:** {', '.join(suggestions['visa'])}")
with st.spinner("🌍 Finding live jobs..."):
jobs = get_live_jobs(field)
st.subheader("💼 Live Job Opportunities")
for job in jobs:
st.markdown(f"- **[{job['title']}]({job['url']})** at *{job['company']}* ({job['location']})")
st.subheader("🧑🏫 Career Counselor Suggestion")
counselor_msg = generate_counselor_response(raw_text, field, score, suggestions)
st.info(counselor_msg)
# Downloadable report
st.subheader("📄 Download Your Personalized Career Report")
report_bytes = generate_pdf_report(raw_text, field, score, suggestions, jobs, counselor_msg)
b64 = base64.b64encode(report_bytes).decode()
href = f'<a href="data:application/pdf;base64,{b64}" download="Career_Roadmap_Report.pdf">📥 Download PDF Report</a>'
st.markdown(href, unsafe_allow_html=True)
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