kmkarakaya commited on
Commit
f07215d
1 Parent(s): 1986392

Update app.py

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  1. app.py +11 -6
app.py CHANGED
@@ -24,7 +24,10 @@ 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 or selecting an example prompt below.
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  Generation takes <b>15-20 seconds</b> on average.
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- Enjoy!"""
 
 
 
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  #<p>NOTE: Examples can sometimes generate ERROR. When you see ERROR on the screen <b>just click SUBMIT</b>. Model will generate text in 15-20 secs.</p>
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  article = """<p style='text-align: center'>On YouTube:</p>
@@ -32,10 +35,12 @@ 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_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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  <p style='text-align: center'>On Medium:</p>
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  <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>"""
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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,
@@ -52,5 +57,5 @@ demo = gr.Interface(fn=generate_review,
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  )
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- gr.HTML("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=Auto_Review_Generation_in_Turkish)")
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  demo.launch()
 
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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 or selecting an example prompt below.
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  Generation takes <b>15-20 seconds</b> on average.
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+ Enjoy!
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+
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+ ![visitor badge](https://visitor-badge.glitch.me/badge?page_id=Auto_Review_Generation_in_Turkish)
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+ """
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  #<p>NOTE: Examples can sometimes generate ERROR. When you see ERROR on the screen <b>just click SUBMIT</b>. Model will generate text in 15-20 secs.</p>
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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_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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  <p style='text-align: center'>On Medium:</p>
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  <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>"""
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+ examples=["Bir hafta önce aldığım cep telefonu çalışmıyor.",
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+ "Tatil için yaptığım rezervasyonu iptal edemiyorum.",
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+ "Geçen ay sipariş verdiğim ayakkabı gelmedi.",
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+ "Abone olduğum spor salonu kapandı.",
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+ "Buzdolabından garip sesler geliyor.",
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+ "Otel tam bir fiyasko."]
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  demo = gr.Interface(fn=generate_review,
 
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  )
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+
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  demo.launch()