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import re
import gradio as gr
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}
# Number of arguments to interpretation function must
# match number of inputs to prediction function
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))
# Output must be a list of lists containing the same number of elements as inputs
# Each element corresponds to the interpretation scores for the given input
return [interpretation]
demo = gr.Interface(
fn=gender_of_sentence,
inputs=gr.Textbox(value="She went to his house to get her keys."),
outputs="label",
interpretation=interpret_gender,
)
if __name__ == "__main__":
demo.launch()
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