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import pypdf
from streamlit.runtime.uploaded_file_manager import UploadedFile
# from docx import Document
from resume_maker_ai_agent.crew import ResumeMakerAIAgent
def read_pdf(uploaded_file: UploadedFile) -> str:
text = ""
try:
pdf_reader = pypdf.PdfReader(uploaded_file)
for page in pdf_reader.pages:
text += page.extract_text()
except Exception as e:
print(f"An unexpected error occurred: {e}")
return text
def run(pdf_file_path: UploadedFile, job_description: str) -> str:
"""
Processes a PDF resume file, customizes it based on the job description,
and returns the updated resume text.
:param pdf_file_path: Path to the PDF file containing the resume.
:param job_description: Description of the job for which the resume needs to be customized.
:return: A string representing the updated resume content.
"""
print("Extracting text from PDF")
resume_text = read_pdf(pdf_file_path)
# Run the crew
print("Running the crew")
inputs = {"resume_text": resume_text, "job_description": job_description}
result = ResumeMakerAIAgent().crew().kickoff(inputs=inputs)
print("Done")
print(result.raw)
return str(result.raw)
# def create_docx(content) -> bytes | None:
# """Create a Word document with the content."""
# # doc = Document()
# # doc.add_paragraph(content)
# # # Save to bytes buffer
# # buffer = io.BytesIO()
# # doc.save(buffer)
# # buffer.seek(0)
# # return buffer
# return None
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