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import pandas as pd
import ydata_profiling
import gradio as gr
from pydantic_settings import BaseSettings
from tempfile import NamedTemporaryFile
import sweetviz as sv
# from dataprep.datasets import load_dataset
# from dataprep.eda import create_report
def generate_report(file, type):
df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file)
pandas_html_report =ydata_profiling.ProfileReport(df).to_html()
temp_file1 = NamedTemporaryFile(delete=False, suffix=".html")
temp_file1.write(pandas_html_report.encode('utf-8'))
temp_file1.close()
# dataprep_report = create_report(df)
# temp_file2 = NamedTemporaryFile(delete=False, suffix=".html")
# temp_file2.write(dataprep_report.encode('utf-8'))
# temp_file2.close()
sweetviz_report = sv.analyze(df)
temp_file3 = NamedTemporaryFile(delete=False, suffix=".html")
temp_file3.write(sweetviz_report.encode('utf-8'))
temp_file3.close()
return temp_file1.name ,temp_file2.name ,temp_file3.nam
with gr.Blocks() as cluster:
with gr.Column():
with gr.Row():
file=gr.File(file_types=['.csv', '.xlsx'], label="Upload a CSV or Excel file")
btn=gr.Button(value="Download Report")
with gr.Row():
gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">PANDAS REPORT</h1>""")
out1=gr.File(label="Download CSV")
gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">DATAPREP REPORT</h1>""")
out2=gr.File(label="Download CSV")
gr.HTML(html_content="""<h1 style="color: #3399FF; text-shadow: 1px 1px 2px #ddd;">SWEETVIZ REPORT</h1>""")
out3=gr.File(label="Download CSV")
btn.click(generate_report,inputs=[file,type],outputs=[out1,out3])
cluster.launch()
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