Deepak Pant
updated containerized env
2debb96
# import PyPDF2
# from docx import Document
import streamlit as st
# import tempfile
from resume_maker_ai_agent.services.app_service import run
from streamlit.runtime.uploaded_file_manager import UploadedFile
def main() -> None:
st.set_page_config(page_title="Resume Maker AI", page_icon="πŸ“„")
st.title("Resume Maker AI")
st.write("Customize your resume for specific job descriptions using AI")
# File upload
uploaded_file: (UploadedFile | None) = st.file_uploader(
"Upload your resume (PDF)", type="pdf")
if uploaded_file is not None:
print("File uploaded successfully!")
print(f'File name: {uploaded_file.name}')
print(f'File type: {uploaded_file.type}')
print(f'File size: {uploaded_file.size}')
# Job description input
job_description = st.text_area("Enter the job description:", height=200)
if st.button("Customize Resume") and uploaded_file is not None and job_description:
with st.spinner("Customizing your resume..."):
try:
# Customize resume
customized_resume = run(uploaded_file, job_description)
# Display customized resume
st.subheader("Customized Resume")
st.write(customized_resume)
# Create download button
# doc_buffer = create_docx(customized_resume)
# st.download_button(
# label="Download Customized Resume",
# data=doc_buffer,
# file_name="customized_resume.docx",
# mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
# )
except Exception as e:
st.error(f"An error occurred: {e!s}")
# Add instructions and tips
with st.expander("How to use"):
st.write("""
1. Upload your current resume in PDF format
2. Paste the job description you're targeting
3. Click 'Customize Resume' to generate a tailored version
4. Review the customized resume
5. Download the result as a Word document
""")
# Footer
st.markdown("---")
st.markdown("Built with Streamlit and Crew AI")
if __name__ == "__main__":
main()