better handling of vector layers as input

ml.py

@@ -257,8 +257,9 @@ class MLAlgorithm(SHPAlgorithm):
 
     def process_ml_shp(self, parameters, context, feedback):
 
-        template_test = self.parameterAsFile(
+        template_test_layer = self.parameterAsVectorLayer(
             parameters, self.TEMPLATE_TEST, context)
+        template_test = template_test_layer.dataProvider().dataSourceUri()
 
         self.test_gdf=None
 

utils/algo.py

@@ -997,8 +997,9 @@ class SHPAlgorithm(IAMAPAlgorithm):
 
         self.input_bands = [i_band -1 for i_band in self.selected_bands]
 
-        self.template = self.parameterAsFile(
+        template = self.parameterAsVectorLayer(
             parameters, self.TEMPLATE, context)
+        self.template = template.dataProvider().dataSourceUri()
         random_samples = self.parameterAsInt(
             parameters, self.RANDOM_SAMPLES, context)