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app.py
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app.py
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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
load_dotenv() ## load all our environment variables
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 Scientist ,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 table format
{{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}}
"""
## streamlit app
st.title("Smart ATS")
st.text("Improve Your Resume ATS")
jd=st.text_area("Please add your 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.subheader(response)