kmkarakaya commited on
Commit
8ed4b31
·
1 Parent(s): 8e29980

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -23,10 +23,10 @@ title="Turkish Review Generator: A GPT2 based Text Generator Trained with a Cust
23
  description= """Generate a review in Turkish by providing a prompt.
24
  Generation takes 15-20 seconds on average."""
25
  article = """<p style='text-align: center'>On YouTube:</p>
26
- <p style='text-align: left'><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>
27
- <p style='text-align: left'><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>
28
  <p style='text-align: center'>On Medium:</p>
29
- <p style='text-align: left'><a href='https://medium.com/deep-learning-with-keras/how-to-train-a-hugging-face-causal-language-model-from-scratch-8d08d038168f' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p>"""
30
  examples=["Bir hafta önce aldığım cep telefonu",
31
  "Tatil için rezervasyon yaptırdım.",
32
  "Henüz alalı bir",
@@ -40,4 +40,4 @@ demo = gr.Interface(fn=generate_review,
40
  description= description,
41
  article = article
42
  )
43
- demo.launch()
 
23
  description= """Generate a review in Turkish by providing a prompt.
24
  Generation takes 15-20 seconds on average."""
25
  article = """<p style='text-align: center'>On YouTube:</p>
26
+ <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>
27
+ <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>
28
  <p style='text-align: center'>On Medium:</p>
29
+ <p style='text-align: center'><a href='https://medium.com/deep-learning-with-keras/how-to-train-a-hugging-face-causal-language-model-from-scratch-8d08d038168f' target='_blank'>How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?</a></p>"""
30
  examples=["Bir hafta önce aldığım cep telefonu",
31
  "Tatil için rezervasyon yaptırdım.",
32
  "Henüz alalı bir",
 
40
  description= description,
41
  article = article
42
  )
43
+ demo.launch(`share=True`)