Add application file

Dockerfile

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+FROM python:3.10
+
+# Set working directory
+WORKDIR /app
+
+# Copy all files to the container
+COPY . .
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Expose port
+EXPOSE 7860
+
+# Start the API
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI
+from pydantic import BaseModel, field_validator
+import joblib
+import numpy as np
+
+app = FastAPI()
+
+# Load model
+model = joblib.load("model.pkl")
+
+class PredictionInput(BaseModel):
+    data: list[int]
+
+    @field_validator("data")
+    def validate_length(cls, v):
+        if len(v) != 17:
+            raise ValueError("data must contain exactly 17 integers")
+        return v
+
+@app.post("/predict")
+def predict(input_data: PredictionInput):
+    X = np.array(input_data.data).reshape(1, -1)
+    prediction = model.predict(X)
+    return {"prediction": prediction.tolist()}
+
+
+# Tambahkan baris ini jika kamu menjalankan app.py langsung!
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run("app:app", host="0.0.0.0", port=8000)

requirements.txt

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+fastapi
+uvicorn
+joblib
+scikit-learn
+numpy