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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/BankChurn.png filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,19 @@
+
+FROM python:3.11-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+ENV GRADIO_SERVER_NAME=0.0.0.0
+ENV GRADIO_SERVER_PORT=7860
+
+WORKDIR /app
+
+COPY requirements.txt /app/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade pip &&     pip install --no-cache-dir -r requirements.txt
+
+COPY . /app
+
+EXPOSE 7860
+
+CMD ["python","-u","app.py"]

README.md

@@ -1,10 +1,23 @@
+
 ---
-title: RX12 BankChurnPredictor
-emoji: 👀
-colorFrom: red
+title: Bank Churn Predictor
+emoji: 🏦
+colorFrom: blue
 colorTo: yellow
 sdk: docker
-pinned: false
+app_port: 7860
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Bank Churn Predictor
+
+A stable HuggingFace Docker Space demo.
+
+Features
+- Run Pipeline (train model)
+- Execution log viewer
+- Single prediction UI
+- Background image support
+
+The pipeline trains a simple model and saves:
+
+models/pipeline.joblib

app.py

@@ -0,0 +1,67 @@
+
+import os
+import subprocess
+import gradio as gr
+import pandas as pd
+import joblib
+
+MODEL_PATH="models/pipeline.joblib"
+
+def load_model():
+    if os.path.exists(MODEL_PATH):
+        return joblib.load(MODEL_PATH)
+    return None
+
+model=load_model()
+
+def predict(age,balance):
+    global model
+    model=load_model()
+    if model is None:
+        return "Run pipeline first"
+    df=pd.DataFrame([[age,balance]],columns=["Age","Balance"])
+    p=model.predict(df)[0]
+    return f"Prediction: {p}"
+
+def run_pipeline():
+    proc=subprocess.Popen(
+        ["python","scripts/pipeline.py"],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        text=True
+    )
+    log=""
+    for line in proc.stdout:
+        log+=line
+        yield log
+
+def build_ui():
+    css=open("style.css").read()
+
+    with gr.Blocks() as demo:
+
+        gr.HTML(f"<style>{css}</style>")
+
+        gr.Markdown("# 🏦 Bank Churn Predictor")
+
+        with gr.Tab("Pipeline"):
+            gr.Markdown("Train model and view execution log")
+            btn=gr.Button("Run Pipeline")
+            log=gr.Textbox(lines=20,label="Execution Log")
+            btn.click(run_pipeline,outputs=log)
+
+        with gr.Tab("Prediction"):
+            age=gr.Number(label="Age")
+            balance=gr.Number(label="Balance")
+            btn=gr.Button("Predict")
+            out=gr.Textbox()
+
+            btn.click(predict,[age,balance],out)
+
+    return demo
+
+if __name__=="__main__":
+    demo=build_ui()
+    demo.queue()
+    port=int(os.environ.get("PORT",7860))
+    demo.launch(server_name="0.0.0.0",server_port=port)

gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/Bank[[:space:]]Churn.png filter=lfs diff=lfs merge=lfs -text

requirements.txt

@@ -0,0 +1,6 @@
+gradio>=4.0
+pandas
+numpy
+scikit-learn
+joblib
+matplotlib

scripts/pipeline.py

@@ -0,0 +1,31 @@
+
+import pandas as pd
+from sklearn.linear_model import LogisticRegression
+from sklearn.model_selection import train_test_split
+import joblib, os
+
+print("===== STEP 1: Load Data =====")
+
+data = pd.DataFrame({
+"Age":[25,45,33,52,23,40,60,48],
+"Balance":[1000,5000,2300,8000,1200,4500,9000,3000],
+"Exited":[0,1,0,1,0,1,1,0]
+})
+
+print("Dataset ready")
+
+print("===== STEP 2: Train Model =====")
+
+X=data[["Age","Balance"]]
+y=data["Exited"]
+
+X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2)
+
+model=LogisticRegression()
+model.fit(X_train,y_train)
+
+os.makedirs("models",exist_ok=True)
+joblib.dump(model,"models/pipeline.joblib")
+
+print("Model saved to models/pipeline.joblib")
+print("Pipeline finished")

style.css

@@ -0,0 +1,171 @@
+/* ===== 1. 整页背景图 ===== */
+html, body {
+  margin: 0 !important;
+  padding: 0 !important;
+  min-height: 100vh !important;
+  background-color: rgb(15, 23, 42) !important;
+  background-image: url("https://huggingface.co/spaces/XRachel/bc4/resolve/main/assets/BankChurn.png") !important;
+  background-position: top center !important;
+  background-repeat: no-repeat !important;
+  background-size: 100% auto !important;
+  background-attachment: scroll !important;
+}
+
+/* 兼容 Gradio 外层容器 */
+gradio-app,
+.gradio-app,
+#app,
+[data-testid="app"],
+.main,
+.app {
+  background: transparent !important;
+  min-height: 100vh !important;
+}
+
+/* ===== 2. 主容器区域 ===== */
+.gradio-container {
+  max-width: 1400px !important;
+  width: 94vw !important;
+  margin: 0 auto !important;
+  padding-top: 140px !important;
+  padding-bottom: 80px !important;
+  background: transparent !important;
+}
+
+/* ===== 3. 页面主体卡片 ===== */
+.gradio-container > .main,
+.gradio-container .contain,
+.gradio-container .wrap {
+  background: transparent !important;
+}
+
+/* 给主要内容区一个半透明白色卡片效果 */
+.gr-block,
+.gr-box,
+.gr-panel,
+.gr-group,
+.form {
+  background: rgba(255, 255, 255, 0.92) !important;
+  border-radius: 16px !important;
+  border: 1px solid rgba(255, 255, 255, 0.55) !important;
+  box-shadow: 0 8px 30px rgba(0, 0, 0, 0.12) !important;
+}
+
+/* ===== 4. 标题样式 ===== */
+h1 {
+  color: #ffffff !important;
+  font-size: 3rem !important;
+  font-weight: 800 !important;
+  text-align: left !important;
+  margin: 0 0 18px 0 !important;
+  text-shadow: 0 2px 10px rgba(0, 0, 0, 0.35) !important;
+}
+
+/* 普通文字 */
+h2, h3, h4, p, label, span, .gr-markdown, .prose {
+  color: #111827 !important;
+}
+
+/* ===== 5. Tabs ===== */
+.tabs > .tab-nav,
+.tab-nav,
+div[role="tablist"] {
+  background: rgba(255, 255, 255, 0.85) !important;
+  border-radius: 12px 12px 0 0 !important;
+  padding: 6px !important;
+  border: 1px solid rgba(17, 24, 39, 0.08) !important;
+}
+
+.tabs > .tab-nav button,
+.tab-nav button,
+div[role="tablist"] button,
+button[role="tab"] {
+  color: #374151 !important;
+  font-weight: 600 !important;
+  border: none !important;
+  background: transparent !important;
+  padding: 10px 20px !important;
+  border-radius: 10px 10px 0 0 !important;
+  opacity: 1 !important;
+}
+
+.tabs > .tab-nav button.selected,
+.tab-nav button.selected,
+button[role="tab"][aria-selected="true"],
+div[role="tablist"] button[aria-selected="true"] {
+  color: #f59e0b !important;
+  background: rgba(15, 23, 42, 0.05) !important;
+  font-weight: 700 !important;
+}
+
+.tabitem {
+  background: rgba(255, 255, 255, 0.94) !important;
+  border-radius: 0 0 14px 14px !important;
+  padding: 18px !important;
+  border: 1px solid rgba(17, 24, 39, 0.08) !important;
+  border-top: none !important;
+}
+
+/* ===== 6. 输入框 / 文本框 ===== */
+input,
+textarea,
+select {
+  background: #ffffff !important;
+  color: #111827 !important;
+  border: 1px solid #d1d5db !important;
+  border-radius: 12px !important;
+  box-shadow: none !important;
+}
+
+textarea {
+  font-family: monospace !important;
+  font-size: 0.9rem !important;
+}
+
+/* ===== 7. 按钮 ===== */
+button:not([role="tab"]) {
+  background: linear-gradient(135deg, #1d4ed8, #2563eb) !important;
+  color: #ffffff !important;
+  border: none !important;
+  border-radius: 12px !important;
+  padding: 12px 18px !important;
+  font-weight: 700 !important;
+  box-shadow: 0 6px 18px rgba(37, 99, 235, 0.25) !important;
+}
+
+button:not([role="tab"]):hover {
+  filter: brightness(1.05) !important;
+}
+
+/* ===== 8. 日志框区域更清晰 ===== */
+label[for],
+.gr-textbox,
+[data-testid="textbox"] {
+  color: #111827 !important;
+}
+
+/* ===== 9. 顶部和底部透明，避免多余灰条 ===== */
+header,
+footer,
+header *,
+footer * {
+  background: transparent !important;
+  box-shadow: none !important;
+}
+
+/* ===== 10. 小屏适配 ===== */
+@media (max-width: 900px) {
+  .gradio-container {
+    width: 96vw !important;
+    padding-top: 70px !important;
+    padding-bottom: 40px !important;
+  }
+
+  h1 {
+    font-size: 2.1rem !important;
+  }
+
+  .tabitem {
+    padding: 12px !important;
+  }
+}