musfiqdehan commited on
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Update app.py

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  1. app.py +19 -12
app.py CHANGED
@@ -311,22 +311,29 @@ def main() -> None:
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  .generating {
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  border: none;
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  }
 
 
 
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  """
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  with gr.Blocks(css=css, delete_cache=(300, 300)) as demo:
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- gr.Markdown(
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  """
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- # 🌍 [YOUR LANGUAGE] - Multilingual Prompt Evaluation Project
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-
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- Hugging Face and @argilla are developing [Multilingual Prompt Evaluation Project](https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation) project. It is an open multilingual benchmark for evaluating language models, and of course, also for [YOUR LANGUAGE].
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-
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- ## The goal is to translate 500 Prompts
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- And as always: data is needed for that! The community selected the best 500 prompts that will form the benchmark. In English, of course.
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- **That's why we need your help**: if we all translate the 500 prompts, we can add [YOUR LANGUAGE] to the leaderboard.
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-
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- ## How to participate
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- Participating is easy. Go to the [annotation space][add a link to your annotation dataset], log in or create a Hugging Face account, and you can start working.
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- Thanks in advance! Oh, and we'll give you a little push: GPT4 has already prepared a translation suggestion for you.
 
 
 
 
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  """
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  )
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  .generating {
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  border: none;
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  }
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+ div {
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+ text-align: center;
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+ }
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  """
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  with gr.Blocks(css=css, delete_cache=(300, 300)) as demo:
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+ gr.HTML(
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  """
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+ <div>
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+ <h1> 🌍 Bengali - Multilingual Prompt Evaluation Project</h1>
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+
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+ Hugging Face and @argilla are developing <a href="https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation">Multilingual Prompt Evaluation Project</a>
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+ project. It is an open multilingual benchmark for evaluating language models, and of course, also for [YOUR LANGUAGE].
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+
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+ <h2>The goal is to translate 500 Prompts</h2>
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+ And as always: data is needed for that! The community selected the best 500 prompts that will form the benchmark. In English, of course.
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+ <b>That's why we need your help</b>: if we all translate the 500 prompts, we can add Bengali to the leaderboard.
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+
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+ <h2>How to participate</h2>
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+ Participating is easy. Go to the <a href="https://huggingface.co/spaces/DIBT-Bengali/Prompt-Translation-For-Bengali">
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+ DIBT Translation For Bengali</a>, log in or create a Hugging Face account, and you can start working.
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+ Thanks in advance! Oh, and we'll give you a little push: GPT4 or Meta's NLLB has already prepared a translation suggestion for you.
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+ </div>
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  """
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  )
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