add

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from fastapi import FastAPI
+import pickle
+import uvicorn
+import pandas as pd
+
+app = FastAPI()
+
+
+# Function to load pickle file
+def load_pickle(filename):
+    with open(filename, 'rb') as file:
+        data = pickle.load(file)
+        return data
+    
+# Load pickle file
+ml_components = load_pickle('my_model.pkl') 
+
+# Components in the pickle file
+ml_model = ml_components['model']
+
+#Endpoints 
+#Root endpoints
+@app.get("/")
+def root():
+    return {"API": "An API for Sepsis Prediction."}
+    
+@app.get('/Predict_Sepsis')
+async def predict(data: dict):
+    
+    data = pd.DataFrame(data)
+    
+    model_output = ml_model.predict(data)]
+    print('pred', model_output)
+    return model_output

my_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d6499bfeaa6d38119806ad1b37d129385745eeb4c1b6ab471eebf6806cf43d4a
+size 172733

requirements.txt

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+fastapi[all]
+uvicorn[standard]
+scikit-learn==1.2.2
+pandas