[form recognizer] Add some stuff that .net has to our samples

sdk/formrecognizer/azure-ai-formrecognizer/README.md

@@ -238,7 +238,8 @@ print("Last modified: {}".format(model.last_modified))
 print("Recognized fields:")
 # looping through the submodels, which contains the fields they were trained on
 for submodel in model.models:
-    print("We have recognized the following fields: {}".format(
+    print("The submodel with form type '{}' has recognized the following fields: {}".format(
+        submodel.form_type,
         ", ".join([label for label in submodel.fields])
     ))
 

sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_recognize_content_async.py

@@ -68,8 +68,9 @@ async def recognize_content(self):
                         ))
                         # [END recognize_content_async]
                 for line_idx, line in enumerate(content.lines):
-                    print("Line # {} has text '{}' within bounding box '{}'".format(
+                    print("Line # {} has word count '{}' and text '{}' within bounding box '{}'".format(
                         line_idx,
+                        len(line.words),
                         line.text,
                         format_bounding_box(line.bounding_box)
                     ))

sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_with_labels_async.py

@@ -57,7 +57,7 @@ async def train_model_with_labels(self):
             # looping through the submodels, which contains the fields they were trained on
             # The labels are based on the ones you gave the training document.
             for submodel in model.models:
-                print("...The submodel has accuracy '{}'".format(submodel.accuracy))
+                print("...The submodel with form type {} has accuracy '{}'".format(submodel.form_type, submodel.accuracy))
                 for name, field in submodel.fields.items():
                     print("...The model found field '{}' to have name '{}' with an accuracy of {}".format(
                         name, field.name, field.accuracy

sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py

@@ -54,6 +54,7 @@ async def train_model_without_labels(self):
             print("Recognized fields:")
             # Looping through the submodels, which contains the fields they were trained on
             for submodel in model.models:
+                print("...The submodel has form type '{}'".format(submodel.form_type))
                 for name, field in submodel.fields.items():
                     print("...The model found field '{}' to have label '{}'".format(
                         name, field.label

sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_recognize_content.py

@@ -60,8 +60,9 @@ def recognize_content(self):
                     ))
                     # [END recognize_content]
             for line_idx, line in enumerate(content.lines):
-                print("Line # {} has text '{}' within bounding box '{}'".format(
+                print("Line # {} has word count '{}' and text '{}' within bounding box '{}'".format(
                     line_idx,
+                    len(line.words),
                     line.text,
                     format_bounding_box(line.bounding_box)
                 ))

sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_with_labels.py

@@ -55,7 +55,7 @@ def train_model_with_labels(self):
         # looping through the submodels, which contains the fields they were trained on
         # The labels are based on the ones you gave the training document.
         for submodel in model.models:
-            print("...The submodel has accuracy '{}'".format(submodel.accuracy))
+            print("...The submodel with form type {} has accuracy '{}'".format(submodel.form_type, submodel.accuracy))
             for name, field in submodel.fields.items():
                 print("...The model found field '{}' to have name '{}' with an accuracy of {}".format(
                     name, field.name, field.accuracy

sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py

@@ -52,6 +52,7 @@ def train_model_without_labels(self):
         print("Recognized fields:")
         # Looping through the submodels, which contains the fields they were trained on
         for submodel in model.models:
+            print("...The submodel has form type '{}'".format(submodel.form_type))
             for name, field in submodel.fields.items():
                 print("...The model found field '{}' to have label '{}'".format(
                     name, field.label