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.env

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+GOOGLE_API_KEY="AIzaSyBXaH75cGy75Ve6aIzJKNT1T51TuDcoWxY"

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()##loas all the environment variables
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+##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
+##Prompt Template
+input_prompt="""
+Hey Act like a skilled or very experience ATS(Application Tracking System) with a deep understanding of Generative AI Engineeer,Data Scientist,
+Machine Learning Engineer,LLM Engineer, and Deep Learning 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 resume.Assign the percentage matching based on 
+job description 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 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 upload your resume")
+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)

requirements.txt

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+streamlit
+PyPDF2
+google.generativeai
+python-dotenv