Add application file

Dockerfile

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+FROM python:3.10
+
+# Create working directory
+WORKDIR /app
+
+# Copy project files
+COPY . .
+
+# Install dependencies
+RUN pip install --upgrade pip
+RUN pip install -r requirements.txt
+
+# Expose port for Uvicorn
+EXPOSE 7860
+
+# Run FastAPI app
+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
+import pandas as pd
+import joblib
+
+app = FastAPI()
+
+# Load the model and preprocessor
+model = joblib.load("classifier.joblib")
+preprocessor = joblib.load("preprocessor.joblib")
+
+
+class InputData(BaseModel):
+    data: list  # List of dicts (records)
+
+@app.post("/predict")
+def predict(input_data: InputData):
+    df = pd.DataFrame(input_data.data)
+    X = df.drop(columns=["label"], errors="ignore")
+    preds = model.predict(preprocessor.transform(X))
+    return {"predictions": preds.tolist()}

requirements.txt

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+fastapi
+uvicorn
+pandas
+joblib
+scikit-learn