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Update app.py
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app.py
CHANGED
@@ -197,8 +197,10 @@ def main():
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.query("_merge == 'left_only'") \
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.drop("_merge",axis=1)
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df = df3.groupby(['Id','Full_sentence','CauseOrEffect', 'Label_level1', 'Label_level2'])['Component'].apply(', '.join).reset_index()
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#st.write(df)
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df["CauseOrEffect"].replace({"C": "cause", "E": "effect"}, inplace=True)
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df_final = df[df['CauseOrEffect'] != 'CT']
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df['New string'] = df_final['Component'].replace(r'[##]+', ' ', regex=True)
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@@ -206,6 +208,7 @@ def main():
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df_final = df_final.drop("Component",axis=1)
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df_final.insert(2, "Component", df['New string'], True)
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df_final.to_csv('predictions.csv')
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# buffer = io.BytesIO()
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.query("_merge == 'left_only'") \
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.drop("_merge",axis=1)
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+
#df = df3.groupby(['Id','Full_sentence','CauseOrEffect', 'Label_level1', 'Label_level2'])['Component'].apply(', '.join).reset_index()
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#st.write(df)
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+
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df = df3
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df["CauseOrEffect"].replace({"C": "cause", "E": "effect"}, inplace=True)
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df_final = df[df['CauseOrEffect'] != 'CT']
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df['New string'] = df_final['Component'].replace(r'[##]+', ' ', regex=True)
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df_final = df_final.drop("Component",axis=1)
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df_final.insert(2, "Component", df['New string'], True)
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st.write(df_final[df_final['Component'].str.len() != 1])
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df_final.to_csv('predictions.csv')
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# buffer = io.BytesIO()
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