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Update app.py
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app.py
CHANGED
@@ -531,9 +531,12 @@ with gr.Blocks(css=STYLES) as demo:
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"is settling down the Title of the story that you are going to write. \n\n"
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"2. If you settle down the Title, click generate text on Control tab of the right pane. "
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"Or just write the first short paragraph and click generate text button. Then, AI will suggest "
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"the next paragraph for you.
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"
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"
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lines=32, max_lines=32,
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elem_classes=['no-label', 'small-big-textarea']
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)
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@@ -612,7 +615,7 @@ with gr.Blocks(css=STYLES) as demo:
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gen_pdf_btn = gr.Button("export as PDF", elem_classes=['control-label-font', 'control-button'])
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pdf_file = gr.File(visible=False)
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gr.Markdown("by clicking the button below, your stories will be shared
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"archived in [llama2-stories](https://huggingface.co/datasets/chansung/llama2-stories) dataset repository, and "
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"they will be displayed in [chansung/LLaMA2-Story-Showcase](https://huggingface.co/spaces/chansung/LLaMA2-Story-Showcase) space.")
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"is settling down the Title of the story that you are going to write. \n\n"
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"2. If you settle down the Title, click generate text on Control tab of the right pane. "
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"Or just write the first short paragraph and click generate text button. Then, AI will suggest "
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"the next paragraph for you. Whenever clicking Generate alternative button, it will suggest the "
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"next paragraph to add. It will suggest up to 3 alternatives, so choose one that you like.\n\n"
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"3. On the hatting tab on the right pane, you can discuss the written story. The whole text "
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"from this textbox will be injected as a context. Understand and modify the story better with it. \n\n"
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"4. On the Exporting/Sharing tab on the right pane, you can export your own stroy in PDF format. "
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"Also, if you like sharing, you can share your work with community.",
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lines=32, max_lines=32,
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elem_classes=['no-label', 'small-big-textarea']
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)
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gen_pdf_btn = gr.Button("export as PDF", elem_classes=['control-label-font', 'control-button'])
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pdf_file = gr.File(visible=False)
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gr.Markdown("by clicking the button below, your stories will be shared with community. All shared stories will be "
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"archived in [llama2-stories](https://huggingface.co/datasets/chansung/llama2-stories) dataset repository, and "
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"they will be displayed in [chansung/LLaMA2-Story-Showcase](https://huggingface.co/spaces/chansung/LLaMA2-Story-Showcase) space.")
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