Update app.py

app.py

@@ -1,7 +1,19 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-def greet(name):
-    return "Hello " + name + "!!"
+tokenizer = AutoTokenizer.from_pretrained("jpelhaw/t5-word-sense-disambiguation")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+model = AutoModelForSeq2SeqLM.from_pretrained("jpelhaw/t5-word-sense-disambiguation")
+
+input = 'question: which description describes the word " java " best in the following context? \
+descriptions:[  " A drink consisting of an infusion of ground coffee beans " , 
+                " a platform-independent programming lanugage "
+                ,  or " an island in Indonesia to the south of Borneo " ] 
+context: I like to drink " java " in the morning .'
+
+
+example = tokenizer.tokenize(input, add_special_tokens=True)
+
+answer = model.generate(input_ids=example['input_ids'], 
+                                attention_mask=example['attention_mask'], 
+                                max_length=135)