Create app.py

app.py

@@ -0,0 +1,39 @@
+import pandas as pd
+import gradio as gr
+import ydata_profiling
+import os
+
+def generate_eda_report(data):
+    try:
+        df = pd.read_csv(data.name)
+    except Exception as e:
+        return f"Error reading CSV file: {e}"
+
+    if len(df) / 1024 / 1024 > 100:
+        return "Error: Dataset size exceeds 100MB."
+
+    profile = ydata_profiling.ProfileReport(df, title="EDA Report")
+    report_path = "eda_report.html"
+    profile.to_file(report_path)
+
+    # Read the HTML content as a string
+    with open(report_path, "r", encoding="utf-8") as f:
+        html_report = f.read()
+
+    # Clean up the generated file
+    os.remove(report_path)
+
+    return html_report
+
+iface = gr.Interface(
+    fn=generate_eda_report,
+    inputs=gr.File(type="file", label="Upload your CSV dataset (max 100MB)"),
+    outputs=gr.HTML(label="EDA Report"),
+    title="Effortless Dataset Insights",
+    description="Upload your CSV file and get an instant Exploratory Data Analysis report in HTML format.",
+)
+
+app = gr.mount_gradio_app(iface, path="/")
+
+if __name__ == "__main__":
+    app.launch()