File size: 2,431 Bytes
0a5d39a 7a75289 0a5d39a 71c9026 c1d9e7e 1065d81 0a5d39a 1065d81 25cd492 1065d81 f06c07a 1065d81 9401792 1065d81 0a5d39a b9cae72 0a5d39a 15a4a02 b9cae72 15a4a02 b9cae72 |
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 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
import pandas as pd
import ydata_profiling
import gradio as gr
from pydantic_settings import BaseSettings
import sweetviz as sv
def generate_report(file,type):
df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file)
if type == "pandas profiling":
return ydata_profiling.ProfileReport(df).to_html()
elif type == "sweetviz":
return sv.analyze(df).show_html(open_browser=True,
layout='widescreen',
scale=None)
# Custom HTML template for styling the report output
custom_html = """
<!DOCTYPE html>
<html>
<head>
<title>Data Profile Report</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 20px;
}
.container {
width: 80%;
margin: auto;
}
</style>
</head>
<body>
<div class="container">
{content}
</div>
</body>
</html>
"""
def generate_report(file, type):
df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file)
if type == "pandas profiling":
html_report =ydata_profiling.ProfileReport(df).to_html()
# Add JavaScript code for download functionality
download_html = f"""
<script>
function downloadReport() {{
var reportContent = document.getElementById("output").innerHTML;
var filename = "report.html";
var blob = new Blob([reportContent], {{type: "text/html"}});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
link.click();
}}
</script>
<button onclick="downloadReport()">Download Report</button>
{html_report}
"""
return download_html
cluster = gr.Interface(
fn=generate_report,
inputs=[gr.File(file_types=['.csv', '.xlsx'], label="Upload a CSV or Excel file"),
gr.Radio(["pandas profiling", "sweetviz"], label="Type of report", info="Explore the data")],
css="""
# Output container styling for better visual presentation (optional)
.output-container {
padding: 10px;
}
""",
layout=gr.Column(
gr.HTML(label="Data Profile Report", html_content=download_html),
gr.Button(value="Download Report", type="submit") # Optional: Replace button within HTML if needed
),
title="Excel sheet Profiling Report",
live=True,
)
cluster.launch()
|