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Update src/app_job_copy_1.py
Browse files- src/app_job_copy_1.py +2 -1
src/app_job_copy_1.py
CHANGED
@@ -358,11 +358,12 @@ def main():
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candidate_data = candidate_worksheet.get_all_values()
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jobs_df = pd.DataFrame(job_data[1:], columns=job_data[0]).drop(["Link"], axis=1, errors='ignore')
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candidates_df = pd.DataFrame(candidate_data[1:], columns=candidate_data[0]).fillna("Unknown")
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candidates_df.drop_duplicates(subset=['LinkedIn URL'], keep='first', inplace=True)
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with st.expander("Preview uploaded data"):
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st.subheader("Jobs Data Preview"); st.dataframe(
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# st.subheader("Candidates Data Preview"); st.dataframe(candidates_df.head(3))
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# Column mapping (simplified, ensure your CSVs have these exact names or adjust)
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candidate_data = candidate_worksheet.get_all_values()
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jobs_df = pd.DataFrame(job_data[1:], columns=job_data[0]).drop(["Link"], axis=1, errors='ignore')
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jobs_df1 = jobs_df[["Company","Role","One liner","Locations","Tech Stack","Workplace","Industry","YOE"]]
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candidates_df = pd.DataFrame(candidate_data[1:], columns=candidate_data[0]).fillna("Unknown")
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candidates_df.drop_duplicates(subset=['LinkedIn URL'], keep='first', inplace=True)
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with st.expander("Preview uploaded data"):
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st.subheader("Jobs Data Preview"); st.dataframe(jobs_df1.head(3))
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# st.subheader("Candidates Data Preview"); st.dataframe(candidates_df.head(3))
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# Column mapping (simplified, ensure your CSVs have these exact names or adjust)
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