File size: 785 Bytes
194fb23
fde2bc0
 
 
 
194fb23
fde2bc0
194fb23
 
 
fde2bc0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
---
title: Bank Churn Pro Demo
emoji: 🏦
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
---

# Bank Churn Pro Demo

A Hugging Face Docker Space for bank customer churn analysis with:

- Full-screen Bank Churn background UI
- Pipeline Step 1/2/3 execution log
- Feature importance chart
- Churn probability gauge
- CSV batch prediction
- SHAP explainability

## Included files

- `app.py` - Gradio app
- `scripts/pipeline.py` - training / artifact generation pipeline
- `data/bankChurn.csv` - sample dataset
- `assets/Bank Churn.png` - background image

## Expected workflow

1. Open the Space
2. Go to **Pipeline** and click **Run Pipeline**
3. Wait for the 3-step pipeline to finish
4. Use **Single Prediction**, **Batch CSV**, and **Explainability** tabs