Add application file

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+from detoxify import Detoxify
+
+all_categories = {'all_categories': [
+                                    'severe_toxicity',
+                                    'obscene',
+                                    'threat',
+                                    'insult',
+                                    'identity_attack',
+                                    'sexual_explicit'
+                                    ]
+                  }
+
+
+examples = [
+    ['Yes indeed. She sort of reminds me of the elder lady that played the part in the movie "Titanic" who was telling her story!!! And I wouldn\'t have wanted to cover who I really am!! I would be proud!!!! WE should be proud of our race no matter what it is!!',
+  50],
+ ['The trans women reading this tweet right now is beautiful', 50],
+ ["Question: These 4 broads who criticize America, what country did they flee to get here? And now they want to make OUR America like THEIR former HELL HOLE. I don't think so!!!!!!!!!!  Let them explain their GRATITUDE for letting them in OUR country.",
+  50],
+ ['Well being subtle you could not have been born because white people don\'t matter',
+  50],
+ ["For starters bend over the one in pink and kick that ass and pussy to get a taste until she's begging for a dick inside her.",
+  50]
+]
+
+
+model = Detoxify('multilingual')
+
+
+def toxicity(sentence, threshold):
+    predicts = model.predict(sentence)
+    return [ x for x in predicts if predicts[x] > threshold/100 ], all_categories
+
+gr.Interface(fn=toxicity, 
+             inputs=[
+                 gr.Textbox(placeholder="Enter sentence here..."),
+                 gr.Slider(0, 100)
+             ], 
+             outputs=[
+                 'text',
+                 gr.JSON(all_categories)
+             ],
+             examples=examples).launch()