kmkarakaya commited on
Commit
5a8655c
·
1 Parent(s): f128f38

Update app.py

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Files changed (1) hide show
  1. app.py +7 -3
app.py CHANGED
@@ -21,7 +21,9 @@ def generate_review(prompt):
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  title="Turkish Review Generator: A GPT2 based Text Generator Trained with a Custom Dataset"
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  description= """Generate a review in Turkish by providing a prompt.
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- Generation takes 15-20 seconds on average."""
 
 
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  article = """<p style='text-align: center'>On YouTube:</p>
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  <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>
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  <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>
@@ -30,7 +32,7 @@ article = """<p style='text-align: center'>On YouTube:</p>
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  examples=["Bir hafta önce aldığım cep telefonu",
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  "Tatil için rezervasyon yaptırdım",
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  "Geçen ay sipariş verdiğim",
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- "Spor salonuna abone oldum ama"]
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  demo = gr.Interface(fn=generate_review,
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  inputs= gr.Textbox(lines=5, placeholder="enter or select a prompt below..."),
@@ -38,6 +40,8 @@ demo = gr.Interface(fn=generate_review,
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  examples=examples,
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  title=title,
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  description= description,
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- article = article
 
 
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  )
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  demo.launch('share=True')
 
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  title="Turkish Review Generator: A GPT2 based Text Generator Trained with a Custom Dataset"
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  description= """Generate a review in Turkish by providing a prompt.
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+ Generation takes 15-20 seconds on average.
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+ You can share your experience by Flagging.
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+ Enjoy!"""
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  article = """<p style='text-align: center'>On YouTube:</p>
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  <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>
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  <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>
 
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  examples=["Bir hafta önce aldığım cep telefonu",
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  "Tatil için rezervasyon yaptırdım",
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  "Geçen ay sipariş verdiğim",
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+ "Spor salonuna abone oldum"]
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  demo = gr.Interface(fn=generate_review,
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  inputs= gr.Textbox(lines=5, placeholder="enter or select a prompt below..."),
 
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  examples=examples,
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  title=title,
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  description= description,
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+ article = article,
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+ allow_flagging="manual",
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+ flagging_options=["reasonable", "non-sense", "moderate"]
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  )
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  demo.launch('share=True')