app.py

import streamlit as st
from cv_evaluator import profile
import logging
import warnings

# Ignore all warnings
warnings.filterwarnings("ignore")

# Set up logging configuration
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Streamlit setup
st.header("CV Assistant for Recruiters & Applicants", divider="blue")
# Display the formatted output
st.markdown('''
            *Introducing a GenAI-powered app designed to aid the hiring process for both recruiters and applicants.*

- **For Recruiters:** The app automatically analyzes resumes against job descriptions, generates ATS (Applicant Tracking System) compatibility scores, and helps recruiters quickly identify candidates to move forward in the hiring process. 

- **For Applicants:** It evaluates resume alignment with the job description, provides actionable recommendations for improvement, and even generates an updated, optimized resume to enhance selection chances.   
            ''')
# User Type Selection
st.subheader("Select your Role ( Recruiter or Applicant)",divider=True)
user_type = st.radio(
    " Select anyone :",
    options=["Recruiter", "Applicant"]
)
st.subheader("Upload Resume (in PDF form)",divider=True)
pdf_doc = st.file_uploader("Upload Resume in PDF format:", type=['pdf'])

st.subheader("Enter the Job Description 📋", divider=True)
job_desc = st.text_area("Paste the Job Description Below:", max_chars=10000)

if st.button("Invoke CV Assistant"):
    try:
        logging.info("Processing user input.")
        if not pdf_doc:
            st.error("Please upload a resume.")
        elif not job_desc.strip():
            st.error("Please enter the job description.")
        else:
            # Call profile function with user_type
            result = profile(pdf_doc=pdf_doc, job_desc=job_desc, user_type=user_type)
            st.markdown(result)
        logging.info("Results displayed successfully.")
    except Exception as e:
        st.error(f"An error occurred: {str(e)}")
        logging.error(f"Error processing input: {e}")