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Update app.py
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app.py
CHANGED
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@@ -152,53 +152,53 @@ def chat_interface(message, history, agent_cluster, temperature=0.9, max_new_tok
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active_agents = [agent for agent, is_active in agent_cluster.items() if is_active]
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response = generate(message, history, active_agents, temperature, max_new_tokens, top_p, repetition_penalty)
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return (message, response)
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with gr.Blocks(theme='ParityError/Interstellar') as demo:
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with gr.Row():
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demo.queue().launch(debug=True)
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active_agents = [agent for agent, is_active in agent_cluster.items() if is_active]
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response = generate(message, history, active_agents, temperature, max_new_tokens, top_p, repetition_penalty)
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return (message, response)
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with gr.Blocks(theme='ParityError/Interstellar') as demo:
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with gr.Row():
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for agent_name, agent_data in agent_roles.items():
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gr.Button(agent_name, variant="secondary").click(toggle_agent, inputs=[gr.Button], outputs=[gr.Textbox])
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gr.Textbox(agent_data["description"], interactive=False)
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with gr.Row():
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gr.ChatInterface(
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chat_interface,
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additional_inputs=[
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gr.Slider(
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label="Temperature",
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value=0.9,
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minimum=0.0,
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maximum=1.0,
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step=0.05,
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interactive=True,
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info="Higher values generate more diverse outputs",
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),
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gr.Slider(
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label="Maximum New Tokens",
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value=2048,
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minimum=64,
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maximum=4096,
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step=64,
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interactive=True,
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info="The maximum number of new tokens",
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),
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gr.Slider(
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label="Top-p (Nucleus Sampling)",
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value=0.90,
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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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gr.Slider(
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label="Repetition Penalty",
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value=1.2,
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minimum=1.0,
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maximum=2.0,
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step=0.05,
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interactive=True,
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info="Penalize repeated tokens",
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)
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],
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inputs=[gr.Textbox, gr.Chatbot, get_agent_cluster],
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)
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demo.queue().launch(debug=True)
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