Commit
·
1b28900
1
Parent(s):
7cae5e1
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,9 +3,12 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, Text2TextGenerati
|
|
| 3 |
|
| 4 |
pipe = Text2TextGenerationPipeline(model = AutoModelForSeq2SeqLM.from_pretrained("jpelhaw/t5-word-sense-disambiguation"),tokenizer = AutoTokenizer.from_pretrained("jpelhaw/t5-word-sense-disambiguation"), )
|
| 5 |
|
|
|
|
|
|
|
|
|
|
| 6 |
gr.Interface.from_pipeline(pipe,
|
| 7 |
inputs = "textbox",
|
| 8 |
outputs="textbox",
|
| 9 |
-
examples =
|
| 10 |
title = "word sense disambiguation",
|
| 11 |
allow_flagging="never").launch(inbrowser=True)
|
|
|
|
| 3 |
|
| 4 |
pipe = Text2TextGenerationPipeline(model = AutoModelForSeq2SeqLM.from_pretrained("jpelhaw/t5-word-sense-disambiguation"),tokenizer = AutoTokenizer.from_pretrained("jpelhaw/t5-word-sense-disambiguation"), )
|
| 5 |
|
| 6 |
+
|
| 7 |
+
examples = ["""'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 ."""]
|
| 8 |
+
|
| 9 |
gr.Interface.from_pipeline(pipe,
|
| 10 |
inputs = "textbox",
|
| 11 |
outputs="textbox",
|
| 12 |
+
examples = examples,
|
| 13 |
title = "word sense disambiguation",
|
| 14 |
allow_flagging="never").launch(inbrowser=True)
|