alishafique commited on
Commit
5fdb51d
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1 Parent(s): ab97325

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -78,7 +78,7 @@ with gr.Blocks(js=on_load, theme=gr.themes.Default()) as demo:
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  gr.Markdown(
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  """
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  <div style="text-align: center;">
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- <h1>Alif 1.0 Urdu & English Chatbot 🚀</h1>
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  <p>Alif 1.0 8B Instruct is an open-source model with highly advanced multilingual reasoning capabilities. It utilizes human refined multilingual synthetic data paired with reasoning to enhance cultural nuance and reasoning capabilities in english and urdu languages.</p>
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  </div>
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  """,
@@ -98,7 +98,7 @@ with gr.Blocks(js=on_load, theme=gr.themes.Default()) as demo:
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  additional_inputs=[
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  gr.Textbox(value="You are an Urdu Chatbot. Write an appropriate response for the given instruction in Urdu. Your response should be extremely comprehensive", label="System prompt", render=False),
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  gr.Slider(0, 1, 0.8, label="Temperature", render=False),
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- gr.Slider(128, 4096, 2048, label="Max new tokens", render=False),
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  gr.Slider(1, 80, 40, step=1, label="Top K sampling", render=False),
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  gr.Slider(0, 2, 1.1, label="Repetition penalty", render=False),
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  gr.Slider(0, 1, 0.95, label="Top P sampling", render=False),
 
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  gr.Markdown(
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  """
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  <div style="text-align: center;">
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+ <h1>Alif 1.0 Urdu & English Educator 🚀</h1>
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  <p>Alif 1.0 8B Instruct is an open-source model with highly advanced multilingual reasoning capabilities. It utilizes human refined multilingual synthetic data paired with reasoning to enhance cultural nuance and reasoning capabilities in english and urdu languages.</p>
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  </div>
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  """,
 
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  additional_inputs=[
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  gr.Textbox(value="You are an Urdu Chatbot. Write an appropriate response for the given instruction in Urdu. Your response should be extremely comprehensive", label="System prompt", render=False),
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  gr.Slider(0, 1, 0.8, label="Temperature", render=False),
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+ gr.Slider(128, 8192, 4096, label="Max new tokens", render=False),
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  gr.Slider(1, 80, 40, step=1, label="Top K sampling", render=False),
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  gr.Slider(0, 2, 1.1, label="Repetition penalty", render=False),
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  gr.Slider(0, 1, 0.95, label="Top P sampling", render=False),