Ats

app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+import json
+import PyPDF2 as pdf
+
+load_dotenv()
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+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="""
+Act like a very skilled or very experienced ATS(Application Tracking System) with a a deep understanding of tech field,
+software engineering, data science, data analyst, machine learning engineer, and big data engineer.Your task is to evaluate
+the resume based on the given job description.
+You must consider the job market to be very competitive and you should provide the best assistance for improving the resumes.
+Assign the percentage matching based on given Jd and the missing keywords necessary with high accuracy.
+
+resume:{text}
+description:{Jd}
+
+I want the response in one single string having the structure{{"JD Match":"%","Missing Keywords:[]","Profile":""}}
+
+
+"""
+
+
+# Strealit App
+
+st.title("Smart ATS")
+st.text("Improve your resume 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)

requirements.txt

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