Added Files

Dockerfile

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+# Use the official Python image
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the current directory contents into the container at /app
+COPY . /app
+
+# Install any needed dependencies specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make port 8000 available to the world outside this container
+EXPOSE 8000
+
+# Run app.py when the container launches
+CMD ["python", "app.py"]
+

app.py

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+from fastapi import FastAPI 
+from pydantic import BaseModel
+import joblib
+import numpy as np
+
+app = FastAPI()
+
+class InputData(BaseModel):
+    input1 : bool
+    input2 : float
+    input3 : float
+    input4 : float
+    input5 : float
+    input6 : float
+    input7 : float 
+
+try: 
+    model = joblib.load('random_forest_model.joblib')
+    status = 'Loaded'
+except:
+    status = "not loaded"
+
+@app.get('/')
+def health_check():
+    return {'status' : f'{status}'}
+
+@app.post('/predict')
+def predict(input : InputData):
+    data = np.array([[input.input1, input.input2,
+    input.input3, input.input4,
+    input.input5, input.input6,
+    input.input7]])
+    prediction = model.predict(data).tolist()
+    return {'prediction' : f'prediction'}

random_forest_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:659ff6618b8604bafb159401806901f91d9ca0fc62311fa8b5785982a15ed76a
+size 6781057

requirements.txt

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+uvicorn
+fastapi
+pydantic
+joblib
+numpy