Update app.py

app.py

@@ -2,13 +2,6 @@ import gradio as gr
 import pickle
 import sys
 import subprocess
-import pandas as pd
-from sklearn.utils import shuffle
-from sklearn.feature_extraction.text import TfidfVectorizer
-from xgboost import XGBClassifier
-from sklearn.model_selection import train_test_split
-import pymystem3
-from tqdm import tqdm
 
 subprocess.check_call([sys.executable, '-m', 'pip', 'install', 
 'xgboost'])
@@ -19,6 +12,14 @@ subprocess.check_call([sys.executable, '-m', 'pip', 'install',
 subprocess.check_call([sys.executable, '-m', 'pip', 'install', 
 'pandas'])
 
+import pandas as pd
+from sklearn.utils import shuffle
+from sklearn.feature_extraction.text import TfidfVectorizer
+from xgboost import XGBClassifier
+from sklearn.model_selection import train_test_split
+import pymystem3
+from tqdm import tqdm
+
 # Load the model from the file
 with open('xgb_model.pkl', 'rb') as file:
     model = pickle.load(file)