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add Japanese Translation
Browse files
app.py
CHANGED
@@ -71,22 +71,22 @@ def predict_term_deposit(age, duration, cc_contact_freq, days_since_pc, pc_conta
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with log_file.open("a") as f:
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f.write(json.dumps(
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{
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'Age': age,
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'Duration(Sec)': duration,
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'CC Contact Freq': cc_contact_freq,
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'Days Since PC': days_since_pc,
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'PC Contact Freq': pc_contact_freq,
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'Job': job,
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'Marital Status': marital_status,
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'Education': education,
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'Defaulter': defaulter,
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'Home Loan': home_loan,
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'Personal Loan': personal_loan,
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'Communication Type': communication_type,
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'Last Month Contacted': last_contacted,
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'Day of Week': day_of_week,
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'PC Outcome': pc_outcome,
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'prediction': prediction[0]
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}
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))
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f.write("\n")
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@@ -111,8 +111,8 @@ demo = gr.Interface(
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day_of_week_input,
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pc_outcome_input],
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outputs=model_output,
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title="Term Deposit Prediction",
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description="This API allows you to predict the person who are going to likely subscribe the term deposit",
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allow_flagging="auto",
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concurrency_limit=8
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)
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with log_file.open("a") as f:
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f.write(json.dumps(
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{
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'Age / 顧客の年齢': age,
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'Duration(Sec) / 通話時間(秒)、最後に連絡した時の通話の長さ(秒単位)': duration,
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'CC Contact Freq / クレジットカード接触頻度': cc_contact_freq,
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'Days Since PC / 前回連絡からの日数': days_since_pc,
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'PC Contact Freq / 過去の接触頻度': pc_contact_freq,
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'Job / 職業(admin=事務職)': job,
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'Marital Status / 婚姻状況': marital_status,
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'Education / 学歴': education,
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'Defaulter / 債務不履行者': defaulter,
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'Home Loan / 顧客が住宅ローンを持っているか': home_loan,
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'Personal Loan / 顧客が個人ローンを持っているか': personal_loan,
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'Communication Type / 連絡手段のタイプ': communication_type,
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'Last Month Contacted / 最終接触月': last_contacted,
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'Day of Week / 最後に接触した日の曜日': day_of_week,
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'PC Outcome / 過去の結果': pc_outcome,
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'prediction / 予測': prediction[0]
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}
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))
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f.write("\n")
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day_of_week_input,
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pc_outcome_input],
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outputs=model_output,
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title="Term Deposit Prediction / 定期預金予測",
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description="This API allows you to predict the person who are going to likely subscribe the term deposit / このAPIは、定期預金に申し込む可能性の高い人を予測することができます。",
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allow_flagging="auto",
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concurrency_limit=8
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)
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