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Browse files- app.py +61 -0
- requirements.txt +4 -0
app.py
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import os
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import streamlit as st
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import google.generativeai as genai
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import PyPDF2 as pdf_load
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from dotenv import load_dotenv
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import json
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# load all our environment variables
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# set model and get response from Gemini model.
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def get_gemini_repsonse(input):
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model = genai.GenerativeModel('gemini-pro')
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response = model.generate_content(input)
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return response.text
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# convert pdf into text
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def input_pdf_text(uploaded_file):
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reader = pdf_load.PdfReader(uploaded_file)
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text = ""
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for page in range(len(reader.pages)):
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page = reader.pages[page]
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text += str(page.extract_text())
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return text
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# Prompt Template
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input_prompt = """
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Hey Act Like a skilled or very experience ATS(Application Tracking System)
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with a deep understanding of tech field,software engineering,data science, Machine Learning, data analyst
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and data engineer. Your task is to evaluate the resume based on the given job description.
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You must consider the job market is very competitive and you should provide
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best assistance for improving the resumes. Assign the percentage Matching based
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on Jd and the missing keywords with high accuracy
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resume:{text}
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description:{jd}
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I want the response in one single string having the structure
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{{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}}
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"""
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# streamlit app
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st.title("Smart Resume ATS System")
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st.text("Improve Your Resume ATS")
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jd = st.text_area("Paste the Job Description")
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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:
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if uploaded_file is not None:
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text = input_pdf_text(uploaded_file)
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response = get_gemini_repsonse(input_prompt)
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st.text_area(response)
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st.info("Shivashankar")
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requirements.txt
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streamlit
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google.generativeai
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python-dotenv
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PyPDF2
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