app.py

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


load_dotenv() ## load all our environment variables

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


#gemini function
def get_gemini_repsonse(input): 
    model=genai.GenerativeModel('gemini-pro')
    response=model.generate_content(input)
    return response.text


# converting the pdf to 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 ,Artificial intelligence,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 the resumes. Assign the percentage Matching based 
on Jd and the missing keywords with high accuracy
resume:{text}
description:{jd}

I want the response in Three blocks having the structure
JD Match:"%"
Missing Keywords:[]
Tips to Improve the Resume for Higher Match :""}}
"""

## streamlit app  front end

st.title("DDS Smart ATS")
st.text("Improve Your Resume ATS Score Match")
jd=st.text_area("Paste the Job Description")
uploaded_file=st.file_uploader("Upload Your Resume",type="pdf",help="Please upload the pdf")

submit = st.button("Submit")

if submit:
    if uploaded_file is not None:
        text=input_pdf_text(uploaded_file)
        response=get_gemini_repsonse(input_prompt.format(text=text, jd=jd))
        st.subheader(response)