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job-llm's Issues

Stage 1 - Extracting Job Description Summary from URL

  • Set Up Project Environment
    • Install Poetry
    • Install Required Python Packages
  • Update README file
  • Define Optimal System Prompt/Custom Instruction for AI Persona - Job Details Extractor
  • Implement Data Extraction (Web Scraping) Functionality for Any URL
  • Acquire OpenAI API Key
  • Code for ChatGPT Integration
  • Code for LLama2 Integration
  • Develop Demo Script to Showcase Job Details Extraction Results

Getting Unbound error

UnboundLocalError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 535, in _run_script
exec(code, module._dict_)
File "/mount/src/job-llm/web_app.py", line 120, in <module>
resume_path, resume_details = resume_llm.resume_builder(job_details, user_data, is_st=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/job-llm/zlm/utils/utils.py", line 100, in wrapper
result = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/job-llm/zlm/_init_.py", line 332, in resume_builder
return resume_path, resume_details
^^^^^^^^^^^

Vector Data Storage and Retrieval Workflow

Tasks to perform:

  • Vector Data Storage
    • Ingestion of data or documents
    • Langchain installation and setup
    • Load data
    • Split the data
    • Create the embeddings
    • Store the chunks in vector store
  • Information Retrieval
    • Create embedding of query/prompt
    • Function to retrieve similar embedding from vector store
  • Integration this with existing pipeline

Overview of workflow

Screenshot 2023-12-21 at 2 53 58 PM

Stage 2 - Resume Build Pipeline

Build resume based on extracted job description and user's master data

  • Craft LLM Prompt for Resume building task.
    • Persona of Job Resume Builder
    • Resume Detail Generator
    • Cover Letter Generator
  • Install required dependencies: Jinja2, pdflatex, pyPDF2, etc
  • Resume building module
  • Cover letter generator module
  • Implement relevant functionalities to support above modules
    • Text to pdf: text_to_pdf
    • logger: save_logs
    • measure_execution_time
    • JSON to latex: latex_to_pdf
    • Latex to pdf: & save_latex_as_pdf
    • Clean text from LLM: clean_string
    • Clean resume text for Latex usage: escape_for_latex
  • Develop scripts to execute pipeline or workflow of resume generation.
  • Format resume.tex.jinja. remove hardcoding using python-jinja syntax for JSON data.

dependency-resolution: Poetry Dependency Resolution Issue with Python 3.11.7

When attempting to use the poetry install command with Python version 3.11.7, the following error is encountered:

The currently activated Python version 3.11.7 is not supported by the project (3.11.6).
Trying to find and use a compatible version.
Python was not found; run without arguments to install from the Microsoft Store, or disable this shortcut from Settings > Manage App Execution Aliases.

Poetry was unable to find a compatible version. If you have one, you can explicitly use it via the "env use" command.

Steps to Reproduce:

  1. Activate Python version 3.11.7.
  2. Run poetry install command

Edit In Overleaf

Fine-tune details with Overleaf

  • we can give users the option to edit the LaTeX file generated by the job-llm tool. this can be done by directing the latex file to a third-party application like Overleaf. With Overleaf, users can modify the LaTeX file and compile it into a PDF format.
  • Feature: "Edit In Overleaf" Button next to "Download Resume" button.
  • Overleaf API: https://www.overleaf.com/devs

[Feature] Enable users to edit resume layouts, and content in the web app

Resume Customization Options: Easy to Advanced:

  1. Choose sections to include: We can start by offering a multi-select dropdown field in the web app, allowing users to choose which sections of their resume they want to include.
  2. Pick and choose content: To provide more control, we can include checkbox options for users in the intermediate resume JSON file. Each checkbox corresponds to a key-value pair generated by the job-llm tool, allowing users to selectively include or exclude specific points in their resume.

Create User Interface

  • Install streamlit
  • Give option to upload User data
  • Give option to upload job details
  • Button to download Resume
  • Button to download Cover letter

Section Wise Resume Generation and LLM Prompting

  • Instead of instructing LLM to generate the entire resume in one go, we will generate each section separately.
  • This approach provides leverage in terms of context size and allows for specific section instructions during generation.

TO DO Tasks:

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