kmkarakaya commited on
Commit
7334585
·
1 Parent(s): a3ae48f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -25,7 +25,7 @@ Generation takes 15-20 seconds on average.
25
  You can share your experience by Flagging.
26
  Enjoy!
27
 
28
- NOTE: Examples some time can generate ERROR. Thus you may want to enter your prompt manually. :)"""
29
  article = """<p style='text-align: center'>On YouTube:</p>
30
  <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v9d9w-L0S8XUXXdNks7vPBL' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p>
31
  <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v8aajw6m9MRNbAAbL63flKD' target='_blank'>Hugging Face kütüphanesini kullanarak bir GPT2 Transformer Dil Modelini Kendi Veri Setimizle nasıl eğitip kullanabiliriz? (in Turkish)</a></p>
@@ -44,7 +44,7 @@ demo = gr.Interface(fn=generate_review,
44
  description= description,
45
  article = article,
46
  allow_flagging="manual",
47
- flagging_options=["reasonable", "non-sense", "moderate"]
48
  #flagging_dir='./flags'
49
  )
50
  demo.launch('share=True', 'enable_queue=True')
 
25
  You can share your experience by Flagging.
26
  Enjoy!
27
 
28
+ NOTE: Examples some time can generate ERROR. When you ERROR on the screen just click SUBMIT. Model will generate text in 15-20 secs."""
29
  article = """<p style='text-align: center'>On YouTube:</p>
30
  <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v9d9w-L0S8XUXXdNks7vPBL' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p>
31
  <p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v8aajw6m9MRNbAAbL63flKD' target='_blank'>Hugging Face kütüphanesini kullanarak bir GPT2 Transformer Dil Modelini Kendi Veri Setimizle nasıl eğitip kullanabiliriz? (in Turkish)</a></p>
 
44
  description= description,
45
  article = article,
46
  allow_flagging="manual",
47
+ flagging_options=["good","moderate", "non-sense", ]
48
  #flagging_dir='./flags'
49
  )
50
  demo.launch('share=True', 'enable_queue=True')