| import streamlit as st |
| import google.generativeai as genai |
| import os |
| from PyPDF2 import PdfReader |
| import json |
| from dotenv import load_dotenv |
| load_dotenv() |
|
|
| genai.configure(api_key=os.getenv('Google_API_KEY')) |
|
|
| input_prompt=""" |
| Hey Act Like a skilled or very experience ATS(Application Tracking System) |
| with a deep understanding of tech field,software engineering,data science ,data analyst |
| and big data engineer. Your task is to evaluate the resume based on the given job description. |
| You must consider the job market is very competitive and you should provide |
| best assistance for improving thr resumes. Assign the percentage Matching based |
| on Jd and |
| the missing keywords with high accuracy |
| resume:{text} |
| description:{jd} |
| |
| I want the response in one single string having the structure |
| {{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}} |
| """ |
| def get_gemini_response(input): |
| model = genai.GenerativeModel('gemini-pro') |
| response = model.generate_content(input) |
| return response.text |
|
|
| def input_pdf_text(uploaded_file): |
| reader = PdfReader(uploaded_file) |
| text = '' |
| for page in reader.pages: |
| text += str(page.extract_text()) |
| return text |
|
|
|
|
|
|
| |
| st.set_page_config( |
| page_title="Resume ATS Tracking", |
| page_icon="📄", |
| layout="wide", |
| initial_sidebar_state="expanded", |
| ) |
| sidebar = st.sidebar |
| sidebar.title('Navigation') |
| sidebar.markdown('Use this panel to navigate through the application and input your data.') |
| |
| st.title('Resume ATS Tracking') |
| st.subheader('Upload your resume and paste the job description to get the ATS tracking response') |
|
|
| jd = st.text_area('Paste the Job Description') |
| uploaded_file = sidebar.file_uploader('Upload Resume', type=['pdf']) |
|
|
| submit = st.button('Submit') |
|
|
| |
| try: |
| if submit: |
| if uploaded_file is not None: |
| text = input_pdf_text(uploaded_file) |
| response = get_gemini_response(input_prompt) |
| response_dict = json.loads(response) |
| |
| |
| st.subheader('ATS Tracking Response:') |
| st.markdown(f"**JD Match:** {response_dict['JD Match']}") |
| st.markdown(f"**Missing Keywords:** {', '.join(response_dict['MissingKeywords'])}") |
| st.markdown(f"**Profile Summary:** {response_dict['Profile Summary']}") |
| except Exception as e: |
| st.error(f"An error occurred: {str(e)}") |
| st.error(traceback.format_exc()) |
