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| import streamlit as st | |
| import google.generativeai as genai | |
| import os | |
| import PyPDF2 as pdf | |
| from dotenv import load_dotenv | |
| import json | |
| import re | |
| import ast | |
| genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
| def get_gemini_repsonse(input): | |
| model=genai.GenerativeModel('gemini-pro') | |
| response=model.generate_content(input) | |
| return response.text | |
| def input_pdf_text(uploaded_file): | |
| reader=pdf.PdfReader(uploaded_file) | |
| text="" | |
| for page in range(len(reader.pages)): | |
| page=reader.pages[page] | |
| text+=str(page.extract_text()) | |
| return text | |
| #Prompt Template | |
| 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":""}} | |
| """ | |
| ## streamlit app | |
| st.title("Applicant Tracking System (ATS)") | |
| st.text("Improve Your Resume ATS") | |
| jd=st.text_area("Paste the Job Description") | |
| uploaded_file=st.file_uploader("Upload Your Resume",type="pdf",help="Please uplaod the pdf") | |
| submit = st.button("Submit") | |
| if submit: | |
| if uploaded_file is not None: | |
| text=input_pdf_text(uploaded_file) | |
| response_string=get_gemini_repsonse(input_prompt) | |
| # Extract JD match percentage | |
| jd_match = int(re.search(r'"JD Match":"(\d+)%?"', response_string).group(1)) | |
| # Extract missing keywords | |
| missing_keywords = re.search(r'"MissingKeywords":(.*?)]', response_string).group(1) + ']' | |
| missing_keywords = eval(missing_keywords) # Convert string representation of list to actual list | |
| # Extract profile summary | |
| profile_summary = re.search(r'"Profile Summary":"(.*?)"', response_string).group(1) | |
| # Streamlit app | |
| st.title("Resume Evaluation Result") | |
| st.write("JD Match:", f"{str(jd_match)}%") | |
| st.write("Missing Keywords:", missing_keywords) | |
| st.write("Profile Summary:", profile_summary) | |
| # If JD match percentage is more than 80%, display balloons | |
| if jd_match >= 80: | |
| st.balloons() | |