app.py

import gradio as gr
from datasets import load_dataset
from typing import List,Dict
from gradio import ChatMessage

DATASETS_LIST = [("Self-GRIT/tuluv2-expanded-150k-part_v0-chat-format-syn-knowledge","part_v0")]
DATASETS = {f"{name}: {split}":load_dataset(name,split = split) for name,split in DATASETS_LIST}
LENS = {name:len(dataset) for name,dataset in DATASETS.items()}
KEY_MESSAGES_ORIGINAL = "messages_original"
KEY_MESSAGES_AUGMENTED = "messages_augmented"

def return_conversation_chat_message(history: List[Dict]):
    conversation = []
    for message in history:
        conversation.append(ChatMessage(role = message["role"],content = message["content"]))
    return conversation

def update_chatbot(value,dataset_name):
    example = DATASETS[dataset_name][int(value)]
    domain,_id = example["dataset"],example["id"]
    oring_chat_history = return_conversation_chat_message(example[KEY_MESSAGES_ORIGINAL])
    augmented_chat_history = return_conversation_chat_message(example[KEY_MESSAGES_AUGMENTED])
    return oring_chat_history,augmented_chat_history,domain,_id

with gr.Blocks() as demo:
    with gr.Group():
        with gr.Row():
            with gr.Column():
                dropdown = gr.Dropdown(DATASETS.keys(), label="Select the dataset")
            with gr.Column():
                slider = gr.Slider(minimum=0, maximum=48127, step=1, label="Select the example")   
    with gr.Group():
        with gr.Row():
            with gr.Column():
                domain_text = gr.Textbox("Domain")
            with gr.Column():
                id_text = gr.Textbox("ID")
        with gr.Row():
            gr.Markdown("Original Chat")
        with gr.Row():
            chatbot_original = gr.Chatbot(type = "messages")
    with gr.Group():
        with gr.Row():
            gr.Markdown("Augmented Chat")
        with gr.Row():
            chatbot_augmented = gr.Chatbot(type = "messages")
    slider.change(fn=update_chatbot, inputs=[slider,dropdown], outputs=[chatbot_original,chatbot_augmented,domain_text,id_text])
demo.launch()