Update utils/_init_.py

utils/_init_.py

@@ -1,15 +0,0 @@
-import pandas as pd
-from datetime import timedelta
-
-def predict_timeline(df):
-    # Dummy logic for testing
-    df['Start'] = pd.Timestamp.now()
-    df['Finish'] = df['Start'] + pd.to_timedelta(7, unit='D')
-    df['Task'] = df.iloc[:, 0]  # Assume first column is task name
-    df['Risk'] = ['Low'] * len(df)
-    
-    summary = "Timeline generated for {} tasks.".format(len(df))
-    risks = [{"text": task, "start": 0, "end": len(task), "entity": risk}
-             for task, risk in zip(df['Task'], df['Risk'])]
-
-    return df[['Task', 'Start', 'Finish', 'Risk']], risks, summary