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Update app.py
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app.py
CHANGED
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@@ -3,7 +3,7 @@ import pandas as pd
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import io
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def extract_contacts(accounts_file, contacts_file, selected_status, selected_sites, contact_type):
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# Read CSVs
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final_accounts = pd.read_csv(accounts_file.name)
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final_contacts = pd.read_csv(contacts_file.name)
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@@ -13,7 +13,7 @@ def extract_contacts(accounts_file, contacts_file, selected_status, selected_sit
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(final_accounts['SITE'].isin(selected_sites))
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]
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# Filter contacts
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filtered_contacts = final_contacts[
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(final_contacts['STATUS'].str.upper() == contact_type.upper()) &
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(final_contacts['ACCOUNT_NAME'].isin(filtered_accounts['ACCOUNT_NAME']))
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@@ -30,15 +30,16 @@ def extract_contacts(accounts_file, contacts_file, selected_status, selected_sit
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'SF_IDS': [sfids if sfids else f"No {contact_type} IDs"]
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})
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#
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csv_buffer = io.StringIO()
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df_out.to_csv(csv_buffer, index=False)
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csv_bytes = csv_buffer.getvalue().encode()
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return df_out, csv_bytes
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with gr.Blocks() as demo:
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gr.Markdown("# Contact Extractor
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with gr.Row():
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accounts_file = gr.File(label="Upload Accounts CSV", file_types=[".csv"])
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@@ -49,24 +50,28 @@ with gr.Blocks() as demo:
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contact_type = gr.Radio(["Active", "Inactive"], label="Contact Type")
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submit_btn = gr.Button("Extract Contacts")
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output_table = gr.Dataframe()
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download_csv = gr.File(label="Download CSV")
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# Populate
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def populate_filters(accounts_file):
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df = pd.read_csv(accounts_file.name)
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return list(df['OVERALL_STATUS'].unique()), list(df['SITE'].unique())
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accounts_file.change(
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#
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submit_btn.click(
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extract_contacts,
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inputs=[accounts_file, contacts_file, status_dropdown, site_dropdown, contact_type],
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outputs=[output_table, download_csv]
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)
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-
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import io
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def extract_contacts(accounts_file, contacts_file, selected_status, selected_sites, contact_type):
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# Read CSVs from uploaded files
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final_accounts = pd.read_csv(accounts_file.name)
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final_contacts = pd.read_csv(contacts_file.name)
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(final_accounts['SITE'].isin(selected_sites))
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]
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# Filter contacts based on status and account match
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filtered_contacts = final_contacts[
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(final_contacts['STATUS'].str.upper() == contact_type.upper()) &
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(final_contacts['ACCOUNT_NAME'].isin(filtered_accounts['ACCOUNT_NAME']))
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'SF_IDS': [sfids if sfids else f"No {contact_type} IDs"]
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})
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# Convert to CSV for download
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csv_buffer = io.StringIO()
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df_out.to_csv(csv_buffer, index=False)
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csv_bytes = csv_buffer.getvalue().encode()
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return df_out, csv_bytes
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# Build Gradio UI with Blocks
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with gr.Blocks() as demo:
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gr.Markdown("# 🗂️ Contact Extractor - Upload, Filter, Download")
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with gr.Row():
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accounts_file = gr.File(label="Upload Accounts CSV", file_types=[".csv"])
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contact_type = gr.Radio(["Active", "Inactive"], label="Contact Type")
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submit_btn = gr.Button("Extract Contacts")
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output_table = gr.Dataframe(label="Filtered Contact Data")
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download_csv = gr.File(label="Download CSV")
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# Populate filter options after accounts file upload
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def populate_filters(accounts_file):
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df = pd.read_csv(accounts_file.name)
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return list(df['OVERALL_STATUS'].unique()), list(df['SITE'].unique())
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accounts_file.change(
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populate_filters,
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inputs=accounts_file,
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outputs=[status_dropdown, site_dropdown]
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)
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# On button click, run extract_contacts
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submit_btn.click(
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extract_contacts,
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inputs=[accounts_file, contacts_file, status_dropdown, site_dropdown, contact_type],
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outputs=[output_table, download_csv]
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)
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# Launch with public link if local run
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if __name__ == "__main__":
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demo.launch(share=True)
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