mlflow attempt task 2 prediction

predict.py

@@ -3,16 +3,17 @@ import mlflow
 import numpy as np
 import sys
 import tarfile
-
+import os 
 file = tarfile.open('mlruns.tar.gz')
 file.extractall('./ml')
 
 input = str((sys.argv[1:])[0])
 PATH = "ml/mlruns/1/f65f936936024133a2c03e1e486ba9cf/artifacts/model/"
+print(os.listdir(PATH))
 model = mlflow.pytorch.load_model(f"{PATH}/MLmodel")
 
 with open(f'[PATH]/{input}', 'r') as file:
     json_data = json.load(file)
-    
+
     print(f"Input: {json_data['inputs'][0]}")
     print(f"Prediction: {model.predict(np.array([json_data['inputs'][0]], dtype=np.float32))}")