import streamlit as st
from model import extract_text_from_pdf, analyze_resume
import os

st.set_page_config(page_title="AI Resume Analyzer", layout="centered")

st.title("📄 AI Resume Analyzer")
st.write("Upload your resume (PDF) to analyze its ATS compatibility.")

uploaded_file = st.file_uploader("Upload Resume (PDF)", type=["pdf"])

if uploaded_file is not None:
    # Save the uploaded file
    temp_path = os.path.join("/tmp", uploaded_file.name)  # Use /tmp for Hugging Face compatibility
    with open(temp_path, "wb") as f:
        f.write(uploaded_file.getbuffer())

    # Extract & Analyze Resume
    resume_text = extract_text_from_pdf(temp_path)
    analysis = analyze_resume(resume_text)

    # Display Results
    st.subheader("📝 Resume Analysis")
    st.write(f"**ATS Score:** {analysis['ats_score']}%")
    st.write(f"**Matched Skills:** {', '.join(analysis['matched_skills'])}")
    st.write(f"**Missing Skills:** {', '.join(analysis['missing_skills'])}")

    # Remove the file after processing (optional)
    os.remove(temp_path)