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import gradio as gr | |
import pandas as pd | |
import plotly.express as px | |
def plot_csv(df): | |
# 将第一列作为索引 | |
df.set_index('Model', inplace=True) | |
# 转置数据框,使得模型作为列,横轴作为行 | |
df_transposed = df.T | |
# 使用plotly绘制折线图 | |
fig = px.line(df_transposed, x=df_transposed.index, y=df_transposed.columns, | |
title='Model Evaluation Results', | |
labels={'value': 'Evaluation Score', 'index': 'Evaluation Metric'}, | |
color_discrete_sequence=px.colors.qualitative.Plotly) | |
# 设置悬停效果 | |
fig.update_traces(hovertemplate='%{y}') | |
return fig | |
# 读取本地的CSV文件 | |
file_path = 'line_counts_QS.csv' | |
df = pd.read_csv(file_path) | |
iface = gr.Interface( | |
fn=plot_csv, | |
inputs=gr.Dataframe(df), | |
outputs=gr.Plot(label="Line Plot"), | |
title="CSV to Line Plot", | |
description="Visualize the evaluation results as a line plot." | |
) | |
iface.launch() |