Correctly inject RModelParser_Keras class into Python interfaces

Author: PrasannaKasar

bindings/pyroot/pythonizations/python/ROOT/_facade.py

@@ -427,6 +427,7 @@ def TMVA(self):
         from ._pythonization import _tmva  # noqa: F401
 
         ns = self._fallback_getattr("TMVA")
+        setattr(ns.Experimental.SOFIE, "RModelParser_Keras", _tmva.RModelParser_Keras)
         hasRDF = "dataframe" in self.gROOT.GetConfigFeatures()
         if hasRDF:
             try:

bindings/pyroot/pythonizations/python/ROOT/_pythonization/_tmva/_sofie/_parser/_keras/parser.py

@@ -539,9 +539,4 @@ def Parse(filename, batch_size=1):  # If a model does not have a defined batch s
             outputNames.append(output_layer_name)
         rmodel.AddOutputTensorNameList(outputNames)
         return rmodel
-
-@pythonization("RModelParser_Keras", ns="TMVA::Experimental::SOFIE")
-def pythonize_rmodelparser_keras(klass):
-    # Parameters:
-    # klass: class to be pythonized 
-    setattr(klass, "Parse", RModelParser_Keras.Parse)
+