Commit
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d4abba2
1
Parent(s):
6d4785c
Update app.py
Browse files
app.py
CHANGED
@@ -4,83 +4,48 @@ import gradio as gr
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from pydantic_settings import BaseSettings
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from tempfile import NamedTemporaryFile
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import sweetviz as sv
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# if type == "pandas profiling":
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# return ydata_profiling.ProfileReport(df).to_html()
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# elif type == "sweetviz":
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# return sv.analyze(df).show_html(open_browser=True,
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# layout='widescreen',
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# scale=None)
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# # Custom HTML template for styling the report output
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# custom_html = """
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# <!DOCTYPE html>
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# <html>
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# <head>
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# <title>Data Profile Report</title>
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# <style>
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# body {
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# font-family: Arial, sans-serif;
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# margin: 0;
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# padding: 20px;
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# }
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# .container {
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# width: 80%;
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# margin: auto;
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# }
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# </style>
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# </head>
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# <body>
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# <div class="container">
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# {content}
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# </div>
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# </body>
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# </html>
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# """
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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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# }
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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.Column():
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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(value="Download Report")
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with gr.Row():
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cluster.launch()
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from pydantic_settings import BaseSettings
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from tempfile import NamedTemporaryFile
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import sweetviz as sv
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from dataprep.datasets import load_dataset
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from dataprep.eda import create_report
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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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pandas_html_report =ydata_profiling.ProfileReport(df).to_html()
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temp_file1 = NamedTemporaryFile(delete=False, suffix=".html")
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temp_file1.write(pandas_html_report.encode('utf-8'))
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temp_file1.close()
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dataprep_report = create_report(df)
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temp_file2 = NamedTemporaryFile(delete=False, suffix=".html")
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temp_file2.write(dataprep_report.encode('utf-8'))
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temp_file2.close()
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sweetviz_report = sv.analyze(df)
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temp_file3 = NamedTemporaryFile(delete=False, suffix=".html")
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temp_file3.write(sweetviz_report.encode('utf-8'))
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temp_file3.close()
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return temp_file1.name ,temp_file2.name ,temp_file3.nam
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with gr.Blocks() as cluster:
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with gr.Column():
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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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btn=gr.Button(value="Download Report")
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with gr.Row():
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gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">PANDAS REPORT</h1>""")
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out1=gr.File(label="Download CSV")
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gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">DATAPREP REPORT</h1>""")
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out2=gr.File(label="Download CSV")
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gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">SWEETVIZ REPORT</h1>""")
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out3=gr.File(label="Download CSV")
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btn.click(generate_report,inputs=[file,type],outputs=[out1,out2,out3])
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cluster.launch()
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