Commit
•
a899a25
1
Parent(s):
c615795
Update app.py
Browse files
app.py
CHANGED
@@ -44,54 +44,41 @@ import sweetviz as sv
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def generate_report(file, type):
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df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file)
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if type == "pandas profiling":
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html_report =ydata_profiling.ProfileReport(df).to_html()
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download_html = f"""
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<script>
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function downloadReport() {{
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var reportContent = document.getElementById("output").innerHTML;
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var filename = "report.html";
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var blob = new Blob([reportContent], {{type: "text/html"}});
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var link = document.createElement("a");
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link.href = URL.createObjectURL(blob);
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link.download = filename;
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link.click();
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}}
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</script>
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<button onclick="downloadReport()">Download Report</button>
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{html_report}
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"""
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return download_html
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cluster = gr.Interface(
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)
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cluster.launch()
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def generate_report(file, type):
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df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file)
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if type == "pandas profiling":
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html_report =ydata_profiling.ProfileReport(df).to_html()
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temp_file = NamedTemporaryFile(delete=False, suffix=".html")
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temp_file.write(html_content.encode('utf-8'))
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temp_file.close()
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return temp_file.name ,html_report
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# cluster = gr.Interface(
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# fn=generate_report,
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# inputs=[gr.File(file_types=['.csv', '.xlsx'], label="Upload a CSV or Excel file"),
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# gr.Radio(["pandas profiling", "sweetviz"], label="Type of report", info="Explore the data")],
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# css="""
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# # Output container styling for better visual presentation (optional)
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# .output-container {
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# padding: 10px;
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# }
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# """,
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# layout=gr.Column(
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# 'html',
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# #gr.HTML(label="Data Profile Report", html_content=download_html),
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# #gr.Button(value="Download Report", type="submit") # Optional: Replace button within HTML if needed
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# ),
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# title="Excel sheet Profiling Report",
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# live=True,
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# )
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with gr.Blocks() as cluster:
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with gr.Row():
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file=gr.File(file_types=['.csv', '.xlsx'], label="Upload a CSV or Excel file"),
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type=gr.Radio(["pandas profiling", "sweetviz"], label="Type of report", info="Explore the data")]
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btn=gr.Button(label="Download Report")
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dwn=gr.File(label="Download CSV"),
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with gr.Row():
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out=gr.HTML()
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btn.click(generate_report,inputs=[file,type],outputs=[dwn,out])
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cluster.launch()
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