Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
peter szemraj
commited on
Commit
•
93b2cca
1
Parent(s):
bc946c2
:art: imporve UI format symmetry
Browse files
app.py
CHANGED
@@ -167,22 +167,17 @@ if __name__ == "__main__":
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)
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with gr.Row():
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model_size = gr.Radio(
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choices=["base", "large"], label="
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)
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num_beams = gr.Radio(
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choices=[2, 3, 4],
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label="
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value=2,
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)
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gr.Markdown(
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"_The base model is less performant than the large model, but is faster and will accept up to 2048 words per input (Large model accepts up to 768)._"
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)
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with gr.Row():
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token_batch_length = gr.Radio(
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choices=[512, 768, 1024],
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label="token batch length",
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value=512,
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)
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length_penalty = gr.inputs.Slider(
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minimum=0.5,
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maximum=1.0,
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@@ -190,6 +185,12 @@ if __name__ == "__main__":
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default=0.7,
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step=0.05,
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)
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with gr.Row():
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repetition_penalty = gr.inputs.Slider(
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minimum=1.0,
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@@ -213,7 +214,7 @@ if __name__ == "__main__":
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)
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input_text = gr.Textbox(
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lines=6,
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label="
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placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
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)
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gr.Markdown("Upload your own file:")
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)
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with gr.Row():
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model_size = gr.Radio(
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+
choices=["base", "large"], label="Model Variant", value="large"
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)
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num_beams = gr.Radio(
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choices=[2, 3, 4],
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label="Beam Search: # of Beams",
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value=2,
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)
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gr.Markdown(
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"_The base model is less performant than the large model, but is faster and will accept up to 2048 words per input (Large model accepts up to 768)._"
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)
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with gr.Row():
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length_penalty = gr.inputs.Slider(
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minimum=0.5,
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maximum=1.0,
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default=0.7,
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step=0.05,
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)
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+
token_batch_length = gr.Radio(
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+
choices=[512, 768, 1024],
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+
label="token batch length",
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value=512,
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)
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+
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with gr.Row():
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repetition_penalty = gr.inputs.Slider(
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minimum=1.0,
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)
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input_text = gr.Textbox(
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lines=6,
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+
label="Input Text (for summarization)",
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placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
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)
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gr.Markdown("Upload your own file:")
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