str() not JSON

app.py

@@ -1,19 +1,18 @@
 import gradio as gr
 from transformers import pipeline
-import json
 
 def process_swedish_text(text):
   # Models from https://huggingface.co/models
   # https://huggingface.co/KBLab/bert-base-swedish-cased-ner
   nlp = pipeline('ner', model='KBLab/bert-base-swedish-cased-ner', tokenizer='KBLab/bert-base-swedish-cased-ner')
   # Run NER
-  pipeline_results = nlp(text)
-  print('NER results:', pipeline_results)
+  nlp_results = nlp(text)
+  print('nlp_results:', nlp_results)
   # Fix TypeError("'numpy.float32' object is not iterable")
-  pipeline_results_adjusted = map(lambda entity: entity | { 'score': float(entity['score']) }, pipeline_results)
-  print(pipeline_results_adjusted)
+  nlp_results_adjusted = map(lambda entity: entity | { 'score': float(entity['score']) }, nlp_results)
+  print('nlp_results_adjusted:', nlp_results_adjusted)
   # Return values
-  return json.dumps({'entities': list(pipeline_results_adjusted)})
+  return str({'entities': list(nlp_results_adjusted)})
 
 gradio_interface = gr.Interface(fn=process_swedish_text, inputs="text", outputs="json")
 gradio_interface.launch()