mkthoma commited on
Commit
46b2f47
·
1 Parent(s): a8af462

app update

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -217,14 +217,14 @@ description1 = "Nano GPT trained on Shakespeare dataset. It is trained on a very
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  shakespeare_interface = gr.Interface(generate_shakespeare_outputs,
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  inputs=[gr.Textbox(label="Enter any prompt ", type="text", value="Once upon a time,"),
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  gr.Slider(minimum=100, maximum=5000, step=100, value=2000, label="Max new tokens")],
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- outputs=gr.Textbox(label="Output generated", type="text"), description=description)
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  description2 = "Nano GPT trained on Wikipedia dataset. It is trained on a very small amount of data to understand how GPT's are trained and built. The implementation can be found <a href='https://github.com/karpathy/nanoGPT'>here.</a>"
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  wiki_interface = gr.Interface(generate_wikipedia_outputs,
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  inputs=[gr.Textbox(label="Enter any prompt ", type="text", value="James Bond"),
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  gr.Slider(minimum=100, maximum=5000, step=100, value=2000, label="Max new tokens")],
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- outputs=gr.Textbox(label="Output generated", type="text"), description=description)
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  demo = gr.TabbedInterface([shakespeare_interface, wiki_interface], tab_names=["Shakespeare Data", "Wikipedia Data"],
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  title=title)
 
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  shakespeare_interface = gr.Interface(generate_shakespeare_outputs,
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  inputs=[gr.Textbox(label="Enter any prompt ", type="text", value="Once upon a time,"),
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  gr.Slider(minimum=100, maximum=5000, step=100, value=2000, label="Max new tokens")],
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+ outputs=gr.Textbox(label="Output generated", type="text"), description=description1)
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  description2 = "Nano GPT trained on Wikipedia dataset. It is trained on a very small amount of data to understand how GPT's are trained and built. The implementation can be found <a href='https://github.com/karpathy/nanoGPT'>here.</a>"
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  wiki_interface = gr.Interface(generate_wikipedia_outputs,
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  inputs=[gr.Textbox(label="Enter any prompt ", type="text", value="James Bond"),
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  gr.Slider(minimum=100, maximum=5000, step=100, value=2000, label="Max new tokens")],
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+ outputs=gr.Textbox(label="Output generated", type="text"), description=description2)
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  demo = gr.TabbedInterface([shakespeare_interface, wiki_interface], tab_names=["Shakespeare Data", "Wikipedia Data"],
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  title=title)