job_recommendations.py

# job_recommendations.py

import streamlit as st

def job_recommendations_page():
    st.header("Job Recommendations")

    uploaded_file = st.file_uploader("Upload your resume (PDF format):", type="pdf")

    if uploaded_file:
        resume_text = extract_text_from_pdf(uploaded_file)
        if resume_text:
            st.success("Resume uploaded successfully!")
            # Fetch job recommendations
            st.subheader("Recommended Jobs")
            jobs = get_job_recommendations(resume_text)
            for job in jobs:
                st.write(f"**{job['title']}** at {job['company']}")
                st.write(f"[Apply Here]({job['link']})")
        else:
            st.error("Failed to extract text from resume.")

def get_job_recommendations(resume_text):
    # Implement job fetching logic
    # This is a placeholder example
    return [
        {"title": "Data Scientist", "company": "TechCorp", "link": "https://example.com/job1"},
        {"title": "Machine Learning Engineer", "company": "InnovateX", "link": "https://example.com/job2"},
    ]