updated plagiarism

app.py

@@ -1,7 +1,13 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-def greet(name):
-    return "Hello " + name + "!!"
+def plagiarism(input):
+    tokenizer = AutoTokenizer.from_pretrained("jpelhaw/xlnet-base-plagiarism-detection")
+    model = AutoModelForSequenceClassification.from_pretrained("jpelhaw/xlnet-base-plagiarism-detection")
+    example = tokenizer.tokenize(input, add_special_tokens=True)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+    answer = model(**example)
+    return answer
+
+iface = gr.Interface(fn=plagiarism, inputs="text", outputs="text")
 iface.launch()