Upload 4 files

Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.9
+
+COPY requirements.txt app/requirements.txt
+
+WORKDIR /app
+
+RUN pip install -r requirements.txt
+
+COPY . /app
+
+EXPOSE 8008
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8008"]

main.py

@@ -0,0 +1,35 @@
+# This is a sample Python script.
+
+# Press Shift+F10 to execute it or replace it with your code.
+# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
+
+
+import uvicorn
+from fastapi import FastAPI
+from pydantic import BaseModel
+import pickle
+import pandas as pd
+
+app = FastAPI()
+
+class scoring_item(BaseModel):
+    battery_power: float
+    px_height: float
+    px_width: float
+    ram: float
+
+with open("model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+@app.post('/predict')
+def scoring_endpoint(item:scoring_item):
+    df = pd.DataFrame([item.dict().values()], columns=item.dict().keys())
+    ypred = model.predict(df)
+    return int(ypred)
+
+"""@app.get('/Welcome')
+def get_name(name: str):
+    return {'Brace yourself, ': f'{name}'}"""
+
+"""if __name__ == '__main__':
+    uvicorn.run(app, host='127.0.0.1',port=8000)"""

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13949eb60106fe82814d1b26629538574af418d3951fcc090b7fb87ab2e11031
+size 1002952

requirements.txt

@@ -0,0 +1,6 @@
+pandas==1.4.2
+uvicorn==0.18.3
+pydantic==1.10.2
+pickle-mixin==1.0.2
+fastapi==0.85.1
+scikit-learn==1.1.2