File size: 904 Bytes
060799f db69e73 060799f db69e73 060799f db69e73 060799f db69e73 7b08134 db69e73 060799f db69e73 060799f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
import gradio as gr
import pandas as pd
from evaluate.visualization import radar_plot # 正确模块
# 模拟的评分数据
scores = {
"Model A": [4.0, 4.5, 3.5, 4.0],
"Model B": [3.5, 4.0, 4.0, 3.5]
}
labels = ["Generalization", "Relevance", "Artistry", "Efficiency"]
df = pd.DataFrame(scores, index=labels).T
# 图表绘制函数
def plot_radar():
data = []
for model in df.index:
data.append({label: df.loc[model, label] for label in df.columns})
fig = radar_plot(data=data, model_names=list(df.index))
fig.suptitle("GRACE 模型评估对比图", fontsize=14)
return fig
# Gradio 界面构建
with gr.Blocks() as demo:
gr.Markdown("## ✨ 模型 GRACE 维度雷达图")
with gr.Row():
generate_button = gr.Button("生成图表")
output_plot = gr.Plot()
generate_button.click(fn=plot_radar, inputs=[], outputs=output_plot)
demo.launch() |