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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 | ||
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load_dotenv() ## load all our environment variables | ||
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | ||
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def get_gemini_repsonse(input): | ||
model=genai.GenerativeModel('gemini-pro') | ||
response=model.generate_content(input) | ||
return response.text | ||
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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 | ||
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#Prompt Template | ||
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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 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 one single string having the structure | ||
{{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}} | ||
""" | ||
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## streamlit app | ||
st.title("Smart ATS") | ||
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") | ||
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submit = st.button("Submit") | ||
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if submit: | ||
if uploaded_file is not None: | ||
text=input_pdf_text(uploaded_file) | ||
response=get_gemini_repsonse(input_prompt) | ||
st.subheader(response) |
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streamlit | ||
PyPDF2 | ||
google.generativeai | ||
python-dotenv |