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Update app.py
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app.py
CHANGED
@@ -1,52 +1,52 @@
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import streamlit as st
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from dotenv import load_dotenv
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load_dotenv()
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import os
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import PyPDF2 as pdf
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import google.generativeai as genai
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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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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def input_pdf_text(uploaded_file):
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reader=pdf.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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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 ,data analyst
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and big 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
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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 ATS")
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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.subheader(response)
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import streamlit as st
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from dotenv import load_dotenv
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load_dotenv()
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import os
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import PyPDF2 as pdf
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import google.generativeai as genai
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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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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def input_pdf_text(uploaded_file):
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reader=pdf.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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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 ,data analyst
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and big 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
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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 ATS")
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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.subheader(response)
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