tabs/playground.py

import gradio as gr
from conversation import Conversation


def get_tab_playground(download_bot_config, get_bot_profile, model_mapping):
    gr.Markdown("""
    # 🎢.️ Playground 🎢.️
    ## Rules
    * Chat with any model you would like with any bot from the Chai app.
    * Click “Clear” to start a new conversation.
    """)
    default_bot_id = "_bot_e21de304-6151-4a04-b025-4c553ae8cbca"
    bot_config = download_bot_config(default_bot_id)
    user_state = gr.State(
        bot_config
    )
    with gr.Row():
        bot_id = gr.Textbox(label="Chai bot ID", value=default_bot_id, interactive=True)
        reload_bot_button = gr.Button("Reload bot")

    bot_profile = gr.HTML(get_bot_profile(bot_config))
    with gr.Accordion("Bot config:", open=False):
        bot_config_text = gr.Markdown(f"# Memory\n{bot_config['memory']}\n# Prompt\n{bot_config['prompt']}")

    first_message = (None, bot_config["firstMessage"])
    chatbot = gr.Chatbot([first_message])

    msg = gr.Textbox(label="Message", value="Hi there!")
    with gr.Row():
        send = gr.Button("Send")
        regenerate = gr.Button("Regenerate")
        clear = gr.Button("Clear")
    values = list(model_mapping.keys())
    model_tag = gr.Dropdown(values, value=values[0], label="Model version")
    model = model_mapping[model_tag.value]

    with gr.Accordion("Generation parameters", open=False):
        temperature = gr.Slider(minimum=0.0, maximum=1.0, value=model.generation_params["temperature"],
                                interactive=True, label="Temperature")
        repetition_penalty = gr.Slider(minimum=0.0, maximum=2.0,
                                       value=model.generation_params["repetition_penalty"],
                                       interactive=True, label="Repetition penalty")
        max_new_tokens = gr.Slider(minimum=1, maximum=512, value=model.generation_params["max_new_tokens"],
                                   interactive=True, label="Max new tokens")
        top_k = gr.Slider(minimum=1, maximum=100, value=model.generation_params["top_k"],
                          interactive=True, label="Top-K")
        top_p = gr.Slider(minimum=0.0, maximum=1.0, value=model.generation_params["top_p"],
                          interactive=True, label="Top-P")

    def respond(message, chat_history, user_state, model_tag,
                temperature, repetition_penalty, max_new_tokens, top_k, top_p):
        custom_generation_params = {
            'temperature': temperature,
            'repetition_penalty': repetition_penalty,
            'max_new_tokens': max_new_tokens,
            'top_k': top_k,
            'top_p': top_p,
        }
        conv = Conversation(user_state)
        conv.set_chat_history(chat_history)
        conv.add_user_message(message)
        model = model_mapping[model_tag]
        bot_message = model.generate_response(conv, custom_generation_params)
        chat_history.append(
            (message, bot_message)
        )
        return "", chat_history

    def clear_chat(chat_history, user_state):
        chat_history = [(None, user_state["firstMessage"])]
        return chat_history

    def regenerate_response(chat_history, user_state, model_tag,
                            temperature, repetition_penalty, max_new_tokens, top_k, top_p):
        custom_generation_params = {
            'temperature': temperature,
            'repetition_penalty': repetition_penalty,
            'max_new_tokens': max_new_tokens,
            'top_k': top_k,
            'top_p': top_p,
        }
        last_row = chat_history.pop(-1)
        chat_history.append((last_row[0], None))
        model = model_mapping[model_tag]
        conv = Conversation(user_state)
        conv.set_chat_history(chat_history)
        bot_message = model.generate_response(conv, custom_generation_params)
        chat_history[-1] = (last_row[0], bot_message)
        return chat_history

    def reload_bot(bot_id, bot_profile, chat_history):
        bot_config = download_bot_config(bot_id)
        bot_profile = get_bot_profile(bot_config)
        return bot_profile, [(None, bot_config[
            "firstMessage"])], bot_config, f"# Memory\n{bot_config['memory']}\n# Prompt\n{bot_config['prompt']}"

    def get_generation_args(model_tag):
        model = model_mapping[model_tag]
        return (
            model.generation_params["temperature"],
            model.generation_params["repetition_penalty"],
            model.generation_params["max_new_tokens"],
            model.generation_params["top_k"],
            model.generation_params["top_p"],
        )

    model_tag.change(get_generation_args, [model_tag], [temperature, repetition_penalty, max_new_tokens, top_k,
                                                        top_p], queue=False)
    send.click(respond,
               [msg, chatbot, user_state, model_tag, temperature, repetition_penalty, max_new_tokens, top_k,
                top_p], [msg, chatbot],
               queue=False)
    msg.submit(respond,
               [msg, chatbot, user_state, model_tag, temperature, repetition_penalty, max_new_tokens, top_k,
                top_p], [msg, chatbot],
               queue=False)
    clear.click(clear_chat, [chatbot, user_state], [chatbot], queue=False)
    regenerate.click(regenerate_response,
                     [chatbot, user_state, model_tag, temperature, repetition_penalty, max_new_tokens, top_k,
                      top_p], [chatbot], queue=False)
    reload_bot_button.click(reload_bot, [bot_id, bot_profile, chatbot],
                            [bot_profile, chatbot, user_state, bot_config_text],
                            queue=False)