app.py

import os

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

# load all our environment variables
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))


# set model and get response from Gemini model.
def get_gemini_repsonse(input):
    model = genai.GenerativeModel('gemini-pro')
    response = model.generate_content(input)
    return response.text


# convert pdf into text
def input_pdf_text(uploaded_file):
    reader = pdf_load.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, Machine Learning, data analyst
and 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 one single string having the structure
{{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}}
"""

# streamlit app
st.title("Smart Resume ATS System")
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 = get_gemini_repsonse(input_prompt)
        st.text_area(response)

    st.info("Shivashankar")