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rameshmoorthy commited on
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1 Parent(s): 6d4785c

Update app.py

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Files changed (1) hide show
  1. app.py +31 -66
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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- # 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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- # return ydata_profiling.ProfileReport(df).to_html()
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-
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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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-
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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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-
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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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- temp_file = NamedTemporaryFile(delete=False, suffix=".html")
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- temp_file.write(html_report.encode('utf-8'))
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- temp_file.close()
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- return temp_file.name ,html_report
 
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-
 
 
 
 
 
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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.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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- 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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  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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+
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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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+
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+
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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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+
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+ return temp_file1.name ,temp_file2.name ,temp_file3.nam
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+
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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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  btn=gr.Button(value="Download Report")
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+
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  with gr.Row():
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+
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+
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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()