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Create app.py
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app.py
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import os
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import gradio as gr
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from huggingface_hub import HfFileSystem
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from src.assets.text_content import INTRODUCTION_TEXT, TITLE
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from src.load_from_hub import load_from_hub
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RESULTS_REPO = os.environ.get("RESULTS_REPO", "datasets/vlsp-2023-vllm/vllms-leaderboard")
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HIDDEN_TOKEN = os.environ.get("HIDDEN_TOKEN")
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fs = HfFileSystem(token=HIDDEN_TOKEN)
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leaderboard_df = load_from_hub(fs, RESULTS_REPO)
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demo = gr.Blocks()
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with demo:
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gr.HTML(TITLE)
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gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("VLLMs Benchmark", elem_id="llm-benchmark-tab-table", id=0):
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with gr.Column():
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with gr.Row():
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search_bar = gr.Textbox(
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placeholder=" 🔍 Search for your model and press ENTER...",
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show_label=False,
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elem_id="search-bar",
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)
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with gr.Row():
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df,
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)
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demo.launch()
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