Update inference/predict.py

inference/predict.py

@@ -1,20 +1,24 @@
 import pandas as pd
 #import lightgbm as lgb
 #from sklearn.preprocessing import LabelEncoder
-from scipy.stats import boxcox
 import subprocess
 import sys
 
 try:
     import lightgbm as lgb
     from sklearn.preprocessing import LabelEncoder
+    from scipy.stats import boxcox
+
 
 except:
     print("An exception occurred")
     subprocess.run([sys.executable, "-m", "pip", "install", "lightgbm"])
+    subprocess.run([sys.executable, "-m", "pip", "install", "scipy"])
     subprocess.run([sys.executable, "-m", "pip", "install", "scikit-learn"])
     from sklearn.preprocessing import LabelEncoder
     import lightgbm as lgb
+    from scipy.stats import boxcox
+
     
 def preprocess_input(input_data):
     # Preprocess the input data (assuming a similar preprocessing as in the training script)