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import gradio as gr
import matplotlib.pyplot as plt
import matplotlib
from bar_plot import create_matplotlib_bar_plot
# Configure matplotlib for better performance
matplotlib.use("Agg")
plt.ioff()
def load_css():
"""Load CSS styling."""
try:
with open("styles.css", "r") as f:
return f.read()
except FileNotFoundError:
return "body { background: #000; color: #fff; }"
def refresh_plot():
"""Generate new matplotlib charts and update description."""
sidebar_text = "**Transformer CI Dashboard**<br>-<br>**AMD runs on MI325**<br>**NVIDIA runs on A10**<br><br>*This dashboard only tracks important models*<br>*(Data refreshed)*"
return create_matplotlib_bar_plot(), sidebar_text
# Create Gradio interface
with gr.Blocks(
title="Random Data Dashboard", css=load_css(), fill_height=True, fill_width=True
) as demo:
with gr.Row():
# Sidebar
with gr.Column(scale=1, elem_classes=["sidebar"]):
gr.Markdown("# 🤖 TCID", elem_classes=["sidebar-title"])
description = gr.Markdown(
"**Transformer CI Dashboard**<br>-<br>**AMD runs on MI325**<br>**NVIDIA runs on A10**<br><br>*This dashboard only tracks important models*",
elem_classes=["sidebar-description"],
)
summary_btn = gr.Button(
"summary\n📊",
variant="primary",
size="lg",
elem_classes=["summary-button"],
)
# Main plot area
with gr.Column(elem_classes=["main-content"]):
plot = gr.HTML(
create_matplotlib_bar_plot(),
elem_classes=["plot-container"],
)
# Button click handler
summary_btn.click(fn=refresh_plot, outputs=[plot, description])
if __name__ == "__main__":
demo.launch()
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