import streamlit as st import tempfile import os from pathlib import Path from PyPDF2 import PdfReader from openai import OpenAI # Import our CrewAI resume optimization module. from crewai_resume_optimization import optimize_resume, generate_interview_questions, extract_job_description # --------------------------- # Helper Function: Extract text from PDF (for resume) # --------------------------- def extract_pdf_text(uploaded_file): # Check file size (limit: 10MB) uploaded_file.seek(0, os.SEEK_END) if uploaded_file.tell() > 10 * 1024 * 1024: st.error("File exceeds 10MB limit.") return "" uploaded_file.seek(0) reader = PdfReader(uploaded_file) text = "" for page in reader.pages: page_text = page.extract_text() if page_text: text += page_text + "\n" return text # --------------------------- # Sidebar: File Upload & Job Input Mode # --------------------------- st.sidebar.title("Upload your resume and add a job description") # Resume upload (PDF only) uploaded_resume = st.sidebar.file_uploader("Upload your resume (PDF, max 10MB)", type="pdf") # Job input mode: "Job Description" vs "Job URL" job_input_mode = st.sidebar.radio("Select Job Input Mode", ("Job Description", "Job URL")) job_input = "" if job_input_mode == "Job Description": job_input = st.sidebar.text_area("Paste the job description here:") elif job_input_mode == "Job URL": job_input = st.sidebar.text_input("Enter the job URL:") # Button to extract job description if URL mode is selected. if job_input_mode == "Job URL" and st.sidebar.button("Extract Job Description"): if job_input: st.session_state.job_description = extract_job_description(job_input) st.sidebar.success("Job description extracted!") else: st.sidebar.error("Please enter a job URL.") # For Job Description mode, use the pasted job description. if job_input_mode == "Job Description": st.session_state.job_description = job_input # Button to trigger resume optimization. if st.sidebar.button("Optimize Resume"): st.session_state.optimize_trigger = True # --------------------------- # Session State Initialization # --------------------------- if "resume_text" not in st.session_state: st.session_state.resume_text = None if "job_description" not in st.session_state: st.session_state.job_description = None if "optimized_resume" not in st.session_state: st.session_state.optimized_resume = None if "interview_questions" not in st.session_state: st.session_state.interview_questions = None # --------------------------- # Process Resume Upload # --------------------------- if uploaded_resume is not None: st.session_state.resume_text = extract_pdf_text(uploaded_resume) if st.session_state.resume_text: st.sidebar.success("Resume uploaded and processed successfully!") else: st.sidebar.error("Failed to extract text from the resume.") # --------------------------- # Main Area: Display Results # --------------------------- st.title("Resume Optimizer") if st.session_state.resume_text is None: st.info("Please upload your resume from the sidebar to begin.") else: if st.session_state.job_description: st.subheader("Job Description") st.write(st.session_state.job_description) else: st.info("Please provide a job description (paste or extract from URL) from the sidebar.") if st.session_state.get("optimize_trigger", False): if st.session_state.resume_text and st.session_state.job_description: with st.spinner("Optimizing resume..."): st.session_state.optimized_resume = optimize_resume(st.session_state.resume_text, st.session_state.job_description) with st.spinner("Generating interview questions..."): st.session_state.interview_questions = generate_interview_questions(st.session_state.optimized_resume, st.session_state.job_description) st.success("Resume optimized and interview questions generated!") st.session_state.optimize_trigger = False else: st.error("Please ensure you have uploaded your resume and provided a job description.") if st.session_state.optimized_resume: st.header("Optimized Resume") st.markdown(st.session_state.optimized_resume) st.download_button("Download Optimized Resume (md)", st.session_state.optimized_resume, file_name="tailored_resume.md", mime="text/markdown") if st.session_state.interview_questions: st.header("Interview Questions") st.markdown(st.session_state.interview_questions) st.download_button("Download Interview Questions (md)", st.session_state.interview_questions, file_name="interview_materials.md", mime="text/markdown") st.info("You can open the downloaded markdown (.md) files with Notepad or any text editor.")