Spaces:
Running
Running
File size: 2,049 Bytes
0cb60c7 67f471c 0cb60c7 c9d2489 67f471c c9d2489 0cb60c7 9a72b36 830b865 acc4e78 276ed24 9a72b36 830b865 276ed24 0cb60c7 830b865 0cb60c7 276ed24 0cb60c7 9138597 0cb60c7 06105cd 0cb60c7 276ed24 0cb60c7 06105cd 0cb60c7 9138597 06105cd 0cb60c7 9a72b36 |
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 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import gradio as gr
import pandas as pd
import sweetviz as sv
import tempfile
import os
class DataAnalyzer:
def __init__(self):
self.temp_dir = tempfile.mkdtemp()
def generate_sweetviz_report(self, df):
report = sv.analyze(df)
report_path = os.path.join(self.temp_dir, "report.html")
report.show_html(report_path, open_browser=False)
with open(report_path, 'r', encoding='utf-8') as f:
html_content = f.read()
# Wrap the report in a table cell with styling
html_with_table = f"""
<table width="100%" style="border-collapse: collapse;">
<tr>
<td style="padding: 20px; border: 1px solid #ddd;">
<div style="height: 800px; overflow: auto;">
{html_content}
</div>
</td>
</tr>
</table>
"""
os.remove(report_path)
return html_with_table
def create_interface():
analyzer = DataAnalyzer()
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# Data Analysis Dashboard")
with gr.Tabs():
with gr.TabItem("Sweetviz Analysis"):
file_input = gr.File(label="Upload CSV")
report_html = gr.HTML()
with gr.TabItem("Custom Analysis"):
gr.Markdown("Custom analysis will be added here")
def process_file(file):
if file is None:
return None
try:
df = pd.read_csv(file.name)
return analyzer.generate_sweetviz_report(df)
except Exception as e:
return f"Error generating report: {str(e)}"
file_input.change(
fn=process_file,
inputs=[file_input],
outputs=[report_html]
)
return demo
if __name__ == "__main__":
demo = create_interface()
demo.launch(show_error=True) |