Spaces:
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Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -320,98 +320,5 @@ with gr.Blocks(analytics_enabled=False,
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""",
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demo.queue(concurrency_count=16).launch(debug=True, share=True)
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# with gr.Row():
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# with gr.Box():
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# output = gr.Markdown()
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# chatbot = gr.Chatbot(elem_id="chat-message", label="Chat")
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#
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# with gr.Row():
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# with gr.Column(scale=3):
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# user_message = gr.Textbox(placeholder="Enter your message here", show_label=False, elem_id="q-input")
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# with gr.Row():
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# send_button = gr.Button("Send", elem_id="send-btn", visible=True)
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#
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# clear_chat_button = gr.Button("Clear chat", elem_id="clear-btn", visible=True)
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#
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# with gr.Accordion(label="Parameters", open=False, elem_id="parameters-accordion"):
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# temperature = gr.Slider(
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# label="Temperature",
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# value=0.7,
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# minimum=0.0,
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# maximum=1.0,
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# step=0.1,
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# interactive=True,
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# info="Higher values produce more diverse outputs",
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# )
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# top_p = gr.Slider(
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# label="Top-p (nucleus sampling)",
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# value=0.9,
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# minimum=0.0,
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# maximum=1,
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# step=0.05,
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# interactive=True,
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# info="Higher values sample more low-probability tokens",
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# )
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# max_new_tokens = gr.Slider(
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# label="Max new tokens",
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# value=1024,
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# minimum=0,
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# maximum=2048,
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# step=4,
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# interactive=True,
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# info="The maximum numbers of new tokens",
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# )
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# repetition_penalty = gr.Slider(
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# label="Repetition Penalty",
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# value=1.2,
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# minimum=0.0,
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# maximum=10,
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# step=0.1,
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# interactive=True,
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# info="The parameter for repetition penalty. 1.0 means no penalty.",
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# )
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# with gr.Row():
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# gr.Examples(
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# examples=examples,
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# inputs=[user_message],
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# cache_examples=False,
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# fn=process_example,
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# outputs=[output],
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# )
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#
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# history = gr.State([])
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# last_user_message = gr.State("")
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#
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# user_message.submit(
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# generate,
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# inputs=[
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# user_message,
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# chatbot,
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# history,
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# temperature,
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# top_p,
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# max_new_tokens,
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# repetition_penalty,
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# ],
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# outputs=[chatbot, history, last_user_message, user_message],
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# )
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#
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# send_button.click(
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# generate,
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# inputs=[
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# user_message,
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# chatbot,
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# history,
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# temperature,
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# top_p,
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# max_new_tokens,
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# repetition_penalty,
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# ],
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# outputs=[chatbot, history, last_user_message, user_message],
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# )
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#
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# clear_chat_button.click(clear_chat, outputs=[chatbot, history])
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demo.queue(concurrency_count=16).launch(debug=True)
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""",
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)
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demo.queue(concurrency_count=16).launch(debug=True)
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