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app.py

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+# 1. Library imports
+import uvicorn
+from fastapi import FastAPI
+from sepsis import Sepsis
+import numpy as np
+import pickle
+import pandas as pd
+# 2. Create the app object
+app = FastAPI()
+with open('pipeline.pkl', 'rb') as file:
+    classifier_dict = pickle.load(file)
+
+# Extract the classifier from the dictionary
+classifier = classifier_dict['model']
+#classifier=pickle.load(pickle_in)
+
+# 3. Index route, opens automatically on http://127.0.0.1:8000
+@app.get('/')
+def index():
+    return {'message': 'Hello'}
+
+# 4. Route with a single parameter, returns the parameter within a message
+#    Located at: http://127.0.0.1:8000/AnyNameHere
+@app.get('/{name}')
+def get_name(name: str):
+    return {'Welcome the Sepssis prediction model': f'{name}'}
+
+# 3. Expose the prediction functionality, make a prediction from the passed
+#    JSON data and return the predicted Bank Note with the confidence
+@app.post('/predict')
+def predict_sepssis(data:Sepsis):
+    data = data.dict()
+    Plasmaglucose=data['Plasmaglucose']
+    BloodWorkResult1=data['BloodWorkResult1']
+    BloodPressure=data['BloodPressure']
+    BloodWorkResult2=data['BloodWorkResult2']
+    BloodWorkResult3=data['BloodWorkResult3']
+    Bodymassindex =data['Bodymassindex']
+    BloodWorkResult4=data['BloodWorkResult4']
+    Age=data['Age']
+    
+     
+    
+    
+   # print(classifier.predict([[variance,skewness,curtosis,entropy]]))
+   # Extract the classifier from the dictionary
+    
+    prediction = classifier.predict([[Plasmaglucose,BloodWorkResult1,BloodPressure,BloodWorkResult2,BloodWorkResult3,Bodymassindex,BloodWorkResult4,Age]])
+    if(prediction[0]>0.5):
+        prediction="Sepssis present"
+    else:
+        prediction="Sepssis Absent"
+    return {
+        'prediction': prediction
+    }
+
+# 5. Run the API with uvicorn
+#    Will run on http://127.0.0.1:8000
+if __name__ == '__main__':
+    uvicorn.run(app, host='127.0.0.1', port=8000)
+    
+#uvicorn app:app --reload

pipeline.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5cf9ad5902a355addda0e27ed473ba6d2e4b7e53cf3c0d17546377a0929a9e45
+size 3889

requirements.txt

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+aiofiles==23.1.0
+aiohttp==3.8.4
+aiosignal==1.3.1
+altair==4.2.2
+anyio==3.6.2
+asttokens==2.2.1
+async-timeout==4.0.2
+attrs==23.1.0
+backcall==0.2.0
+blinker==1.6.2
+cachetools==5.3.0
+certifi==2022.12.7
+charset-normalizer==3.1.0
+cleantext==1.1.4
+click==8.1.3
+colorama==0.4.6
+comm==0.1.3
+contourpy==1.0.7
+cycler==0.11.0
+debugpy==1.6.7
+decorator==5.1.1
+docker==6.1.2
+entrypoints==0.4
+executing==1.2.0
+fastapi==0.95.1
+ffmpy==0.3.0
+filelock==3.12.0
+fonttools==4.39.4
+frozenlist==1.3.3
+fsspec==2023.4.0
+future==0.18.3
+gitdb==4.0.10
+GitPython==3.1.31
+gradio==3.30.0
+gradio_client==0.2.4
+h11==0.14.0
+httpcore==0.17.0
+httpx==0.24.0
+huggingface-hub==0.14.1
+idna==3.4
+imbalanced-learn==0.10.1
+importlib-metadata==6.6.0
+ipykernel==6.23.0
+ipython==8.13.2
+jedi==0.18.2
+Jinja2==3.1.2
+joblib==1.2.0
+jsonschema==4.17.3
+jupyter_client==8.2.0
+jupyter_core==5.3.0
+kiwisolver==1.4.4
+linkify-it-py==2.0.2
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+matplotlib==3.7.1
+matplotlib-inline==0.1.6
+mdit-py-plugins==0.3.3
+mdurl==0.1.2
+mpmath==1.2.1
+multidict==6.0.4
+nest-asyncio==1.5.6
+networkx==3.0
+nltk==3.8.1
+numpy==1.24.3
+orjson==3.8.12
+packaging==23.1
+pandas==2.0.1
+parso==0.8.3
+pickleshare==0.7.5
+Pillow==9.5.0
+platformdirs==3.5.0
+plotly==5.14.1
+prompt-toolkit==3.0.38
+protobuf==3.20.3
+psutil==5.9.5
+pure-eval==0.2.2
+pyarrow==12.0.0
+pydantic==1.10.7
+pydeck==0.8.1b0
+pydub==0.25.1
+Pygments==2.15.1
+Pympler==1.0.1
+pyngrok==4.1.1
+pyparsing==3.0.9
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+python-multipart==0.0.6
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+pywin32==306
+PyYAML==6.0
+pyzmq==25.0.2
+regex==2023.5.5
+requests==2.30.0
+rich==13.3.5
+scikit-learn==1.2.2
+scipy==1.10.1
+seaborn==0.12.2
+semantic-version==2.10.0
+six==1.16.0
+smmap==5.0.0
+sniffio==1.3.0
+stack-data==0.6.2
+starlette==0.26.1
+streamlit==1.22.0
+sympy==1.11.1
+tenacity==8.2.2
+textblob==0.17.1
+threadpoolctl==3.1.0
+tokenizers==0.13.3
+toml==0.10.2
+toolz==0.12.0
+torch==2.0.1+cu117
+torchaudio==2.0.2+cu117
+torchvision==0.15.2+cu117
+tornado==6.3.1
+tqdm==4.65.0
+traitlets==5.9.0
+transformers==4.28.1
+typing_extensions==4.5.0
+tzdata==2023.3
+tzlocal==4.3
+uc-micro-py==1.0.2
+urllib3==2.0.2
+uvicorn==0.22.0
+vaderSentiment==3.3.2
+validators==0.20.0
+watchdog==3.0.0
+wcwidth==0.2.6
+websocket-client==1.5.1
+websockets==11.0.3
+yarl==1.9.2
+zipp==3.15.0

sepsis.py

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+from pydantic import BaseModel
+# 2. Class which describes Bank Notes measurements
+class Sepsis(BaseModel):
+    Plasmaglucose:float
+    BloodWorkResult1:float
+    BloodPressure:float
+    BloodWorkResult2:float
+    BloodWorkResult3: float
+    Bodymassindex: float
+    BloodWorkResult4: float
+    Age: float
+    
+
+