def read_inputs_md(input_path):
reader = MarkdownReader()
reader.read(input_path, language='de', fformat='MARKDOWN')
texts = []
cats = []
for message in reader.training_examples:
texts.append(message.text)
cats.append(message.get('intent'))
return texts, cats
def _write_nlu_yaml(training_data_path: Path, output_path: Path,
source_path: Path) -> None:
reader = MarkdownReader()
writer = RasaYAMLWriter()
training_data = reader.read(training_data_path)
writer.dump(output_path, training_data)
print_success(f"Converted NLU file: '{source_path}' >> '{output_path}'.")
from rasa.nlu.training_data.formats import MarkdownReader
import xlsxwriter
workbook = xlsxwriter.Workbook('filename.xlsx')
worksheet = workbook.add_worksheet()
worksheet.write('A1', 'question')
worksheet.write('B1', 'label')
worksheet.write('C1', 'answer')
training_data = ()
row = 1
col = 0
doc = "PATH\\TO\\nlu.md"
reader = MarkdownReader()
reader.read(doc, language='de', fformat='MARKDOWN')
for message in reader.training_examples:
training_data = training_data + ([message.text, message.get('intent')], )
for question, label in (training_data):
worksheet.write_string(row, col, question)
worksheet.write_string(row, col + 1, label)
worksheet.write_string(row, col + 2, '')
row += 1
workbook.close()