Fix last errors

nlp

@@ -92,7 +92,7 @@ class NLPWorkflow(WorkflowRunner):
             max(1, int(self.n_cores / len(self.jobs)))
         )
         for index, job in enumerate(self.jobs):
-            cmd = 'spacy_nlp -l "{}" "{}" "{}" "{}"'.format(
+            cmd = 'spacy_nlp -l "{}" "{}" "{}" {}'.format(
                 self.lang,
                 job['path'],
                 os.path.join(job['output_dir'], job['name'] + '.vrt'),

spacy_nlp

@@ -42,7 +42,7 @@ if args.check_encoding:
         bytes = input_file.read()
         encoding = chardet.detect(bytes)['encoding']
 else:
-    encoding='utf-8'
+    encoding = 'utf-8'
 # Read text from the input file and if neccessary split it into parts with a
 # length of less than 1 million characters.
 with open(args.i, encoding=encoding) as input_file: