diff --git a/lab8/predict_artifact.py b/lab8/predict_artifact.py
index d33f133..2483df3 100644
--- a/lab8/predict_artifact.py
+++ b/lab8/predict_artifact.py
@@ -2,16 +2,13 @@ import mlflow
 import numpy as np
 import json
 
-artifact_path = 'mlruns/1//artifacts/model' #
-model = mlflow.pyfunc.load_model(artifact_path) #
+artifact_path = 'mlruns_s444417/1/169f2bf3d53f4de088c494e889c6e65a/artifacts/model'
+model = mlflow.pyfunc.load_model(artifact_path)
 
-with open(f'{model}/input_example.json') as f:
+with open(f'input_example.json') as f:
     input_example_data = json.load(f)
 
-input_example = np.array() #
+input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
 
 print(f'Input example: {input_example}')
 print(f'Model prediction: {model.predict(input_example)}')
-
-
-
diff --git a/lab8/predict_registry.py b/lab8/predict_registry.py
index 28561df..4f57561 100644
--- a/lab8/predict_registry.py
+++ b/lab8/predict_registry.py
@@ -2,13 +2,13 @@ import mlflow
 import numpy as np
 import json
 
-regsistry_path = '/mlruns/17/ /artifacts/model' #
-model = mlflow.pyfunc.load_model(registry_path) #
+registry_path = '/mlruns/17/4a8894c60fe34adcb79108c66d7330fc/artifacts/linear-model'
+model = mlflow.pyfunc.load_model(registry_path)
 
-with open(f'{model}/input_example.json') as f:
+with open(f'{registry_path}/input_example.json') as f:
     input_example_data = json.load(f)
 
-input_example = np.array() #
+input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
 
 print(f'Input example: {input_example}')
 print(f'Model prediction: {model.predict(input_example)}')