update predict.py, jenkinsfile_predict

Jenkinsfile_predict

@@ -4,13 +4,20 @@ pipeline {
 			image 'maciejczajka'
 		}
     }
+ parameters {
+        string(
+            defaultValue: 'input_example.json',
+            description: 'Input file name',
+            name: 'INPUT',
+            trim: false
+        )
+    }
     
     stages {
         stage('Script') {
             steps {
                 copyArtifacts projectName: 's444409-training/main', selector: lastSuccessful()
-		sh 'ls -al'
-		sh "python predict.py"
+		sh "python predict.py $INPUT"
             }
         }
     }

predict.py

@@ -2,14 +2,13 @@ import json
 import mlflow
 import pandas as pd
 
+input = sys.argv[1]
+
 logged_model = 'mlruns/1/fa3e620f03e64d888c364827907fb6f5/artifacts/s444409'
-logged_model2 = 'mlruns/1/fa3e620f03e64d888c364827907fb6f5/artifacts/s444409/data/model.pth'
-loaded_model = mlflow.pyfunc.load_model(logged_model2)
+loaded_model = mlflow.pyfunc.load_model(logged_model)
 
 
-with open(f'{logged_model}/input_example.json') as f:
+with open(f'{logged_model}/'+input) as f:
     data = json.load(f)
-    input_example = pd.DataFrame(data['inputs'][0])
 
-
-loaded_model.predict(input_example)
+loaded_model.predict(data['inputs'])