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| import streamlit as st | |
| import os | |
| import PyPDF2 as pdf | |
| import google.generativeai as genai | |
| # Load environment variables from .env file (assuming it's in the same directory) | |
| from dotenv import load_dotenv | |
| load_dotenv(dotenv_path = 'C:/Users/HP/ATSapp/.env') | |
| api_key = os.getenv("GOOGLE_API_KEY") | |
| genai.configure(api_key=api_key) | |
| def gemini_response(input, text): | |
| 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(0,len(reader.pages)): | |
| page = reader.pages[page] | |
| text = text + page.extract_text() | |
| return text | |
| # Streamlit app here | |
| st.title("ATS Resume Scanner") | |
| st.text("Make your resume ATS friendly") | |
| jd = st.text_area("Paste the job description here") | |
| uploaded_file = st.file_uploader("Upload your resume", type="pdf", help="Please upload the pdf") | |
| submit1 = st.button("How is my resume?") | |
| submit2 = st.button("Tell me the keywords that my resume is missing") | |
| submit3 = st.button("Give my resume a matching score out of 10") | |
| if uploaded_file is not None: | |
| st.write("Resume uploaded successfully") | |
| prompt1 = '''Suppose you are an experienced technical HR manager with 10 years of experience having expertise in resume review specially for the tech | |
| roles like Data Science, Data Analyst, Full Stack Developer, Devops and Data Engineering. Your task is to review the provided resume against the job | |
| description. Please share a detailed and honest evaluation on whether the provided resume aligns with the job description with the strengths and | |
| weakness of applicant with respect to the provided job description. Here is the resume: ''' | |
| prompt2 = '''Suppose you are an experienced technical HR manager with 10 years of experience having expertise in keyword matching specially for the tech | |
| roles like Data Science, Data Analyst, Full Stack Developer, Devops and Data Engineering. Your task is to review the provided resume against the job | |
| description. Please make a list of the most appeared keywords in the job description and check if those keywords are already in resume or not? | |
| If they are in resume, then it's fine otherwise simply return a list of keywords that are in job description but not in resume. Here is the resume: ''' | |
| prompt3 = '''Suppose you are an experienced technical HR manager with 10 years of experience having expertise in ATS systems specially for the tech | |
| roles like Data Science, Data Analyst, Full Stack Developer, Devops and Data Engineering. Your task is to review the provided resume against the job | |
| description. Please give the provided resume a score out of 10 based on how much it matches or aligns with the provided job description. If it does not | |
| get a 10 simply list out the necessary changes which when made in the resume will make the resume a 10. Here is the resume: ''' | |
| if submit1: | |
| if uploaded_file is not None: | |
| text = input_pdf_text(uploaded_file) | |
| response = gemini_response(prompt1, text) | |
| st.subheader(response) | |
| else: | |
| st.write("Please upload your resume") | |
| elif submit2: | |
| if uploaded_file is not None: | |
| text = input_pdf_text(uploaded_file) | |
| response = gemini_response(prompt2, text) | |
| st.subheader(response) | |
| else: | |
| st.write("Please upload your resume") | |
| elif submit3: | |
| if uploaded_file is not None: | |
| text = input_pdf_text(uploaded_file) | |
| response = gemini_response(prompt3, text) | |
| st.subheader(response) | |
| else: | |
| st.write("Please upload your resume") |