copy model from mlflow script

pred_from_mlflow_model.py

@@ -0,0 +1,18 @@
+import mlflow as mlf
+import json
+import mlflow as mlf
+import pandas as pd
+
+model_name = "movies_imdb"
+model_version = 1
+
+model = mlf.pyfunc.load_model(
+    model_uri=f"models:/{model_name}/{model_version}"
+)
+
+with open('movies_imdb/input_example.json', 'r') as datafile:
+    data = json.load(datafile)['inputs']
+
+input_dictionary = {idx:x for idx, x in enumerate(data)}
+input_ex = pd.DataFrame([input_dictionary])
+print(model.predict(input_ex))