Update app.py
Browse files
app.py
CHANGED
@@ -2,7 +2,6 @@ import gradio as gr
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import pandas as pd
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from datetime import datetime
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import logging
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import matplotlib.pyplot as plt
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# λ‘κ·Έ μ€μ
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logging.basicConfig(level=logging.INFO)
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@@ -30,31 +29,17 @@ def analyze_reviews(file_path):
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df_recent = df[df['리뷰λ μ§'].dt.year >= start_year]
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logger.info("μ΅κ·Ό 3λ
λ°μ΄ν° νν°λ§ μλ£")
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#
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logger.info("
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df_recent['
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logger.info("
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#
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logger.info("
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plt.figure(figsize=(10, 6))
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plt.bar(monthly_review_counts['λ
μ'], monthly_review_counts['리뷰건μ'], color='skyblue')
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plt.xlabel('λ
μ')
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plt.ylabel('리뷰 건μ')
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plt.title('μ΅κ·Ό 3λ
μλ³ λ¦¬λ·° 건μ')
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plt.xticks(rotation=45)
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graph_path = file_path.replace('.xlsx', '_graph.png')
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plt.tight_layout()
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plt.savefig(graph_path)
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plt.close()
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logger.info("κ·Έλν μμ± μλ£")
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# μλ‘μ΄ μνΈμ κ·Έλν μ μ₯
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logger.info("μλ‘μ΄ μνΈ μμ± μμ")
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with pd.ExcelWriter(file_path, engine='openpyxl', mode='a') as writer:
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logger.info("μλ‘μ΄
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return file_path
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except Exception as e:
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import pandas as pd
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from datetime import datetime
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import logging
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# λ‘κ·Έ μ€μ
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logging.basicConfig(level=logging.INFO)
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df_recent = df[df['리뷰λ μ§'].dt.year >= start_year]
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logger.info("μ΅κ·Ό 3λ
λ°μ΄ν° νν°λ§ μλ£")
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# λ
λλ³ λ¦¬λ·° 건μ ν©μ° κ³μ°
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logger.info("λ
λλ³ λ¦¬λ·° 건μ μ§κ³ μμ")
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df_recent['λ
λ'] = df_recent['리뷰λ μ§'].dt.year
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yearly_review_counts = df_recent.groupby('λ
λ').size().reset_index(name='리뷰건μ')
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logger.info("λ
λλ³ λ¦¬λ·° 건μ μ§κ³ μλ£")
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# μλ‘μ΄ μνΈμ μ μ₯
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logger.info("μλ‘μ΄ μνΈμ λ°μ΄ν° μ μ₯ μμ")
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with pd.ExcelWriter(file_path, engine='openpyxl', mode='a') as writer:
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yearly_review_counts.to_excel(writer, sheet_name='λ
λλ³ λ¦¬λ·°κ±΄μ', index=False)
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logger.info("μλ‘μ΄ μνΈμ λ°μ΄ν° μ μ₯ μλ£")
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return file_path
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except Exception as e:
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