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import streamlit as st | |
import google.generativeai as genai | |
import os | |
import PyPDF2 as pdf | |
genai.configure(api_key="AIzaSyBk3kTV9PURCS40ZOXNFBMIUMPi08akJME") | |
# Gemini Pro Response | |
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 | |
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 ,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 one single string having the structure | |
{{"JD Match":"%"}} | |
""" | |
## streamlit app | |
st.title("Smart Resume ATS") | |
st.text("Improve Your Resume as per Job description ATS") | |
jd=st.text_area("Paste the Job Description here") | |
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_response(input_prompt) | |
st.subheader(response) |