app.py

import streamlit as st
import google.generativeai as genai
import os
import PyPDF2 as pdf
from dotenv import load_dotenv
import json

load_dotenv() ## load all our environment variables

os.getenv("GOOGLE_API_KEY")
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))



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=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="""
Act Like a skilled and very experienced ATS(Application Tracking System). Your task is to evaluate the resume based on the given job description. Consider the job market to be extremely competitive and you must provide the best possible assistance to users for improving their resumes. Assign them percentage matching based on Job Description and the missing keywords with high accuracy
resume:{text}
description:{jd}
Give your response in 4 seperate parts having the structure
JD Match Percentage:"%"
Give a small message saying 'You are a great match' or something based on the percentage
MissingKeywords:[]
Tips to Improve the Resume for Higher Match:""}}
"""

## streamlit app
st.title("Job Description Matcher by Jishnu Setia")
st.text("Find out if you are the best match for the job")
jd=st.text_area("Paste the Job Description you would like to match with:")
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 = get_gemini_response(input_prompt.format(text=text, jd=jd))
        st.subheader(response)