init project

.gitignore

@@ -0,0 +1,10 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

.python-version

@@ -0,0 +1 @@
+3.12

data/dummy_data.csv

@@ -0,0 +1,201 @@
+Age,Income,Gender,Purchased,Satisfaction
+56,1066000,Female,Yes,3
+46,593000,Male,No,3
+32,579000,Male,No,3
+25,1183000,Female,No,3
+38,1933000,Male,No,1
+56,497000,Male,No,3
+36,1281000,Female,No,4
+40,1834000,Male,No,4
+28,1051000,Female,Yes,1
+28,443000,Male,Yes,3
+41,908000,Female,No,3
+53,1524000,Female,No,3
+57,1447000,Female,No,5
+41,486000,Female,Yes,2
+20,1649000,Male,No,5
+39,763000,Female,No,2
+19,1672000,Female,Yes,3
+41,959000,Female,Yes,3
+47,1063000,Male,No,5
+55,1254000,Female,No,5
+19,702000,Male,Yes,2
+38,1669000,Female,Yes,4
+50,1834000,Male,Yes,2
+29,446000,Male,Yes,5
+39,1471000,Female,No,5
+42,1163000,Male,No,1
+44,788000,Female,Yes,5
+59,1228000,Female,No,1
+45,1963000,Female,No,4
+33,850000,Male,No,2
+32,637000,Male,No,2
+20,1171000,Female,Yes,1
+54,940000,Female,Yes,2
+24,772000,Male,No,5
+38,450000,Female,No,3
+26,1738000,Female,Yes,1
+56,1621000,Female,No,2
+35,1934000,Male,No,1
+21,562000,Male,Yes,1
+42,443000,Male,No,3
+31,645000,Female,No,5
+26,923000,Female,No,1
+43,1316000,Female,Yes,2
+19,1895000,Male,No,4
+37,1180000,Female,No,1
+45,301000,Female,No,1
+24,1196000,Female,No,3
+25,1627000,Female,No,5
+52,553000,Male,No,4
+31,1975000,Male,No,2
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+53,1360000,Male,No,2
+57,1483000,Male,Yes,5
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+51,703000,Male,Yes,2
+27,451000,Male,No,3
+53,353000,Male,No,3
+31,1443000,Female,Yes,1
+48,1996000,Male,No,5
+32,927000,Male,No,4
+25,886000,Female,Yes,2
+31,1948000,Female,No,1
+40,1743000,Male,Yes,1
+57,1745000,Male,Yes,2
+38,403000,Female,No,4
+33,553000,Female,Yes,1
+35,1550000,Female,No,1
+41,1435000,Female,No,5
+43,809000,Female,No,4
+42,1796000,Male,No,1
+58,398000,Female,No,4
+46,452000,Male,No,2
+32,1213000,Male,No,3
+18,1177000,Male,Yes,1
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+24,1121000,Male,No,2
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+41,1256000,Female,No,2
+18,460000,Male,No,1
+25,1903000,Male,No,4
+41,1100000,Female,No,3
+28,697000,Male,No,2
+34,1600000,Male,Yes,1
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+52,1827000,Female,No,4
+52,1715000,Female,No,2
+50,1458000,Female,Yes,2
+22,1518000,Male,No,3
+59,700000,Male,Yes,3
+56,939000,Female,Yes,5
+58,1356000,Male,Yes,5
+45,987000,Male,Yes,1
+24,759000,Female,No,1
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+25,769000,Male,Yes,5
+29,1698000,Male,No,4
+51,1345000,Male,No,3
+50,1049000,Female,No,1
+40,1993000,Female,Yes,3
+41,337000,Female,Yes,3
+54,529000,Female,Yes,5
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+57,862000,Female,Yes,2
+39,737000,Female,No,4
+44,1606000,Female,Yes,4
+52,326000,Female,Yes,3
+18,525000,Female,Yes,4
+52,1600000,Male,Yes,1
+54,1097000,Male,Yes,3
+31,1932000,Female,No,1
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+22,1259000,Female,No,2
+43,1804000,Male,No,3
+31,752000,Male,Yes,5
+56,1319000,Female,Yes,4
+44,1115000,Female,Yes,5
+26,958000,Female,No,2
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+32,846000,Female,No,3
+43,1515000,Female,No,4
+59,1372000,Female,Yes,1
+30,1835000,Male,No,4
+49,316000,Female,No,1
+56,1495000,Female,Yes,4
+49,1543000,Male,No,1
+21,457000,Female,No,2
+47,776000,Female,No,5
+54,1369000,Male,No,3
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+56,817000,Male,No,5
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+49,796000,Female,Yes,2
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+59,999000,Female,No,5
+23,1292000,Female,No,2
+45,1439000,Male,No,4
+45,490000,Female,No,1
+37,552000,Female,No,5
+47,1280000,Female,No,1
+28,1227000,Female,Yes,1
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+50,454000,Female,No,1
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+41,545000,Female,No,4
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+29,1362000,Male,No,5
+56,1800000,Female,No,5
+19,1058000,Male,No,5
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+54,1220000,Male,No,3
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+19,1127000,Male,Yes,1
+45,1829000,Female,No,5
+40,1202000,Female,No,2
+54,335000,Female,No,1
+49,984000,Female,No,2
+50,319000,Female,Yes,3
+18,620000,Male,No,5
+36,811000,Male,No,1
+19,699000,Male,No,1
+43,953000,Female,No,1
+49,1271000,Female,No,1
+23,770000,Male,No,1
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+21,1415000,Male,Yes,5
+28,1677000,Male,No,3
+34,1133000,Male,Yes,3

helpers/__init__.py

@@ -0,0 +1,28 @@
+"""
+A file that contains some helpers functions
+
+"""
+
+
+from typing import IO
+import pandas as pd
+import plotly.express as px
+from plotly.graph_objs._figure import Figure
+
+
+def load_data(file: IO) -> tuple[str
+, str]:
+    global df
+    df = pd.read_csv(file.name)
+    return df.head().to_html(), f"Rows: {df.shape[0]}, Cols: {df.shape[1]}"
+
+def show_summary() -> str:
+    if df is None:
+        return "Please upload a dataset first."
+    return df.describe().to_html()
+
+def plot_column(colname: str) -> Figure | str:
+    if df is None:
+        return "Please upload a dataset first."
+    fig = px.histogram(df, x=colname)
+    return fig

main.py

@@ -0,0 +1,43 @@
+from typing import Any
+import gradio as gr
+import pandas as pd
+import helpers
+
+# --- Global Variables ---
+df = None
+
+# --- Gradio App ---
+with gr.Blocks() as demo:
+    gr.Markdown("# 📊 Datathon Dashboard with Gradio")
+
+    with gr.Tab("Dataset Overview"):
+        file_input = gr.File(label="Upload CSV", file_types=[".csv"])
+        preview = gr.HTML()
+        shape = gr.Textbox(label="Dataset Info")
+
+        file_input.change(helpers.load_data, inputs=file_input, outputs=[preview, shape])
+
+    with gr.Tab("Exploratory Data Analysis"):
+        gr.Markdown("## 🔍 EDA Section")
+        col_dropdown = gr.Dropdown(label="Select column to visualize", choices=[], interactive=True)
+        plot = gr.Plot()
+
+        # When file uploaded, update dropdown
+        def update_dropdown(file) -> dict[str, Any]:
+            d = pd.read_csv(file.name)
+            return gr.update(choices=d.columns.tolist())
+
+        file_input.change(update_dropdown, inputs=file_input, outputs=col_dropdown)
+        col_dropdown.change(helpers.plot_column, inputs=col_dropdown, outputs=plot)
+
+    with gr.Tab("Modeling (Optional)"):
+        gr.Markdown("You can add ML model training or predictions here.")
+
+    with gr.Tab("Insights"):
+        gr.Markdown("## 📌 Insights & Conclusion")
+        gr.Markdown("Write your story, insights, and recommendations here.")
+
+
+
+if __name__ == "__main__":
+    demo.launch()

pyproject.toml

@@ -0,0 +1,10 @@
+[project]
+name = "gradio-dashboard-test"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "gradio>=5.44.0",
+    "plotly>=6.3.0",
+]