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import pandas as pd |
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import streamlit as st |
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from utils import * |
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backgroundPattern = """ |
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<style> |
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[data-testid="stAppViewContainer"] { |
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background-color: #0E1117; |
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opacity: 1; |
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background-image: radial-gradient(#282C34 0.75px, #0E1117 0.75px); |
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background-size: 15px 15px; |
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} |
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</style> |
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""" |
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st.markdown(backgroundPattern, unsafe_allow_html=True) |
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st.write(""" |
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# Resume Screening & Classification |
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""") |
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st.caption(""" |
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Using K-Nearest Neighbors (KNN) algorithm and Cosine Similarity |
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###### |
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""") |
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tab1, tab2, tab3 = st.tabs(['Getting Started', 'Classify', 'Rank']) |
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with tab1: |
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writeGettingStarted() |
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with tab2: |
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st.header('Input') |
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uploadedResumeClf = st.file_uploader('Upload Resumes', type = 'xlsx', key = 'upload-resume-clf') |
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if uploadedResumeClf is not None: |
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isButtonDisabledClf = False |
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else: |
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st.session_state.processClf = False |
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isButtonDisabledClf = True |
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if 'processClf' not in st.session_state: |
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st.session_state.processClf = False |
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st.button('Start Processing', on_click = clickClassify, disabled = isButtonDisabledClf, key = 'process-clf') |
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if st.session_state.processClf: |
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st.divider() |
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st.header('Output') |
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resumeClf = pd.read_excel(uploadedResumeClf) |
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resumeClf = classifyResumes(resumeClf) |
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with st.expander('View Bar Chart'): |
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barChart = createBarChart(resumeClf) |
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st.altair_chart(barChart, use_container_width = True) |
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currentClf = filterDataframeClf(resumeClf) |
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st.dataframe(currentClf, use_container_width = True, hide_index = True) |
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xlsxClf = convertDfToXlsx(currentClf) |
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st.download_button(label='Save Current Output as XLSX', data = xlsxClf, file_name = 'Resumes_categorized.xlsx') |
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with tab3: |
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st.header('Input') |
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uploadedJobDescriptionRnk = st.file_uploader('Upload Job Description', type = 'txt', key = 'upload-jd-rnk') |
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uploadedResumeRnk = st.file_uploader('Upload Resumes', type = 'xlsx', key = 'upload-resume-rnk') |
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if all([uploadedJobDescriptionRnk, uploadedResumeRnk]): |
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isButtonDisabledRnk = False |
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else: |
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st.session_state.processRank = False |
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isButtonDisabledRnk = True |
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if 'processRank' not in st.session_state: |
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st.session_state.processRank = False |
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st.button('Start Processing', on_click = clickRank, disabled = isButtonDisabledRnk, key = 'process-rnk') |
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if st.session_state.processRank: |
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st.divider() |
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st.header('Output') |
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jobDescriptionRnk = uploadedJobDescriptionRnk.read().decode('utf-8') |
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resumeRnk = pd.read_excel(uploadedResumeRnk) |
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resumeRnk = rankResumes(jobDescriptionRnk, resumeRnk) |
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with st.expander('View Job Description'): |
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st.write(jobDescriptionRnk) |
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currentRnk = filterDataframeRnk(resumeRnk) |
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st.dataframe(currentRnk, use_container_width = True, hide_index = True) |
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xlsxRnk = convertDfToXlsx(currentRnk) |
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st.download_button(label='Save Current Output as XLSX', data = xlsxRnk, file_name = 'Resumes_ranked.xlsx') |
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