Feature: Streamlit Interactive v1.0

[imhalcyon]

Pull Request Title

Interactive streamlit application with file upload and new column based UI

Related Issue

N/A

Description

This new interactive streamlit application allows users to directly upload or drag-and-drop the PDF files using streamlit's file_uploader component. The application also includes a new UI to allow side-by-side comparisons for each of the following:

1. Parsed Data
2. Extracted Keywords
3. Extracted Entities
4. Keywords & Values
5. Key Topics

Type

• Bug Fix
• Feature Enhancement
• Documentation Update
• Code Refactoring
• Other (please specify):

Proposed Changes

N/A

Screenshots / Code Snippets (if applicable)

Landing Page:

Notification while uploading a file - Also includes a spinner to show progress:

After processing:

Each component holds the grid layout to avoid overlap for easy comparison:
Only 1 expander opened:

Both expanders opened:

The Similarity Score and common words has been pushed to the bottom section outside of the grid:

The Similarity Score also changes color based on the following rules - subject to change:

# Default color to green
score_color = "green"
if similarity_score < 60:
    score_color = "red"
elif 60 <= similarity_score < 75:
    score_color = "orange"

How to Test

1. Execute pip install -r requirements.txt to upgrade streamlit and other dependencies
2. Include config.yml file if similarity score needs to be calculated
3. Execute streamlit run streamlit_interactive.py
4. Upload/Drag-and-drop the resume and job description PDF
5. Done

Checklist

• The code compiles successfully without any errors or warnings
• The changes have been tested and verified
• The documentation has been updated (if applicable)
• The changes follow the project's coding guidelines and best practices
• The commit messages are descriptive and follow the project's guidelines
• All tests (if applicable) pass successfully
• This pull request has been linked to the related issue (if applicable)

Additional Information

[Devasy23]

Hi there! Firstly, huge thanks for your contributions and effort! I've gone through the recent commit, and I noticed a few things that might need some adjustments:

1. The extracted entities graphs seem a bit stretched. I wonder if setting the layout to "wide" might enhance the visualization. You can check the screenshot .

2. I observed that the key topics are currently being extracted only from the job description and not from the resume. Ideally, having key topics from both sources would provide a more comprehensive analysis. Although keywords and values are accurately extracted from the resume, the same isn't happening for the JD.
   
   

3. One thing I noticed during my run was that the score wasn't displayed. Understanding the match score is crucial, so I'm wondering if there's a reason why it's not visible.

Your work is greatly appreciated, and I'm looking forward to your insights on these observations! 🌟

[Devasy23]

It now works fine for me ;p

[srbhr]

@imhalcyon I need those resume jsons for the streamlit cloud file to run the demo properly.

[imhalcyon]

@srbhr , sure. I've reverted that commit. Please check now.

[imhalcyon]

Hello @srbhr , is this still being tested?

[srbhr]

Nice work @imhalcyon changes are working smoothly.

[srbhr]

Changes look really cool.