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README.md

@@ -6,6 +6,6 @@ colorFrom: indigo
 colorTo: indigo
 sdk: gradio
 sdk_version: 3.4.1
-app_file: app.py
+app_file: run.py
 pinned: false
 ---

run.py

@@ -0,0 +1,46 @@
+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()