Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+def score_comment(comment):
+    vectorized_comment = vectorizer([comment])
+    results = model.predict(vectorized_comment)
+
+    text = ''
+    for idx, col in enumerate(df.columns[2:]):
+        text += '{}: {}\n'.format(col, results[0][idx]>0.5)
+
+    return text
+
+interface = gr.Interface(fn = score_comment, inputs=gr.Textbox(lines=2, placeholder='Comment to score'), outputs = 'text', title='Comment Toxicity', description='Check comment, how much is it toxic:')
+interface.launch(share=True)