gradio/demo/gender_sentence_custom_interpretation/run.py

import gradio as gr
import re

male_words, female_words = ["he", "his", "him"], ["she", "hers", "her"]
def gender_of_sentence(sentence):
  male_count = len([word for word in sentence.split() if word.lower() in male_words])
  female_count = len([word for word in sentence.split() if word.lower() in female_words])
  total = max(male_count + female_count, 1)
  return {"male": male_count / total, "female": female_count / total}

def interpret_gender(sentence):
  result = gender_of_sentence(sentence)
  is_male = result["male"] > result["female"]
  interpretation = []
  for word in re.split('( )', sentence):
    score = 0
    token = word.lower()
    if (is_male and token in male_words) or (not is_male and token in female_words):
      score = 1
    elif (is_male and token in female_words) or (not is_male and token in male_words):
      score = -1
    interpretation.append((word, score))
  return interpretation

iface = gr.Interface(
  fn=gender_of_sentence, inputs=gr.inputs.Textbox(default="She went to his house to get her keys."),
  outputs="label", interpretation=interpret_gender, enable_queue=True)
if __name__ == "__main__":
    iface.launch()