diff --git a/learning/Jenkinsfile b/learning/Jenkinsfile
index 50d6010..43b5ef5 100644
--- a/learning/Jenkinsfile
+++ b/learning/Jenkinsfile
@@ -21,10 +21,8 @@ pipeline {
         stage('learning') {
             steps {
                 sh 'python ./learning/ml.py'
-                sh "python ./learning/ml-mlflow.py"
                 sh "export MLFLOW_TRACKING_URI=http://172.17.0.1:5000"
                 sh "python ./learning/ml-mlflow.py"
-                sh "ls -l"
             }
         }
         stage('archiveArtifacts') {
diff --git a/predict/Jenkinsfile b/predict/Jenkinsfile
index 0af170a..8f2dc07 100644
--- a/predict/Jenkinsfile
+++ b/predict/Jenkinsfile
@@ -17,6 +17,7 @@ pipeline {
                 sh 'ls -l'
                 sh 'ls -l ./prediction_data'
                 sh 'ls -l ./prediction_data/movies_imdb'
+                sh 'python ./predict.py'
             }
         }
 	}
diff --git a/predict/predict.py b/predict/predict.py
index e69de29..696c8fb 100644
--- a/predict/predict.py
+++ b/predict/predict.py
@@ -0,0 +1,15 @@
+import json
+import mlflow
+import pandas as pd
+
+
+model = mlflow.keras.load_model("./prediction_data/movies_imdb/MLmodel")
+
+
+with open('./prediction_data/movies_imdb/input_example.json', 'r') as datafile:
+    data = json.load(datafile)
+    example_input = data["inputs"]
+
+input_dictionary = {i: x for i, x in enumerate(example_input)}
+input_ex = pd.DataFrame(input_dictionary, index=[0])
+print(model.predict(input_ex))