Upload 2 files

app.py

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+import pandas as pd
+from ydata_profiling import ProfileReport
+import gradio as gr
+
+def generate_report(file):
+    try:
+        # Read the uploaded CSV file
+        df = pd.read_csv(file.name)
+        
+        # Generate the profiling report
+        report = ProfileReport(df, title="Data Report", explorative=True)
+        
+        # Render the report as an HTML string
+        report_html = report.to_html()
+        
+        return report_html
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Define the footer HTML content
+footer = """
+<div style="text-align: center; margin-top: 20px;">
+    <a href="https://www.linkedin.com/in/pejman-ebrahimi-4a60151a7/" target="_blank">LinkedIn</a> |
+    <a href="https://github.com/arad1367" target="_blank">GitHub</a> |
+    <a href="https://arad1367.pythonanywhere.com/" target="_blank">Live demo of my PhD defense</a>
+    <br>
+    Made with 💖 by Pejman Ebrahimi
+</div>
+"""
+
+# Create a Gradio interface with custom layout
+with gr.Blocks(theme='bethecloud/storj_theme') as app:
+    gr.Markdown("# Data Report Generator")
+    
+    # File input section
+    with gr.Row():
+        with gr.Column(scale=1):
+            upload = gr.File(label="Upload your CSV file")
+        with gr.Column(scale=1):
+            generate_btn = gr.Button("Generate Report")
+    
+    # Output section for displaying the report
+    report_output = gr.HTML()
+    
+    # Action to generate and display the report
+    generate_btn.click(fn=generate_report, inputs=upload, outputs=report_output)
+
+    # Add the footer to the app
+    gr.HTML(footer)
+
+# Launch the Gradio app
+app.launch()

requirements.txt

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+pandas
+ydata_profiling
+gradio