upp

.gitattributes

@@ -25,11 +25,10 @@
 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,10 +1,6 @@
----
-title: Test Space
-emoji: 📊
-colorFrom: gray
-colorTo: purple
+title: FastAPI In Docker
+emoji: 🐢
+colorFrom: yellow
+colorTo: red
 sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+pinned: false

main.py

@@ -0,0 +1,63 @@
+from fastapi import FastAPI
+import pickle
+import uvicorn
+import pandas as pd
+
+app = FastAPI()
+
+# @app.get("/")
+# def read_root():
+#     return {"Hello": "World!"}
+
+
+# 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('ml_sepsis.pkl') 
+
+# Components in the pickle file
+ml_model = ml_components['model']
+pipeline_processing = ml_components['pipeline']    
+
+#Endpoints 
+#Root endpoints
+@app.get("/")
+def root():
+    return {"API": "An API for Sepsis Prediction."}
+    
+@app.get('/Predict_Sepsis')
+async def predict(Plasma_glucose: int, Blood_Work_Result_1: int,
+                  Blood_Pressure: int, Blood_Work_Result_2: int,
+                    Blood_Work_Result_3: int, Body_mass_index: float, 
+                    Blood_Work_Result_4: float,Age: int, Insurance:float):
+    
+    data = pd.DataFrame({'Plasma glucose': [Plasma_glucose], 'Blood Work Result-1':	[Blood_Work_Result_1],
+                         'Blood Pressure': [Blood_Pressure], 'Blood Work Result-2': [Blood_Work_Result_2],
+                        'Blood Work Result-3': [Blood_Work_Result_3], 'Body mass index': [Body_mass_index],
+                        'Blood Work Result-4':	[Blood_Work_Result_4], 'Age': [Age], 'Insurance':[Insurance]})
+    
+    data_prepared = pipeline_processing.transform(data)
+
+    model_output = ml_model.predict(data_prepared).tolist()
+
+    prediction = make_prediction(model_output)
+
+    return prediction
+    
+    
+
+
+def make_prediction(data_prepared):
+
+    output_pred = data_prepared
+
+    if output_pred == 0:
+        output_pred = "Sepsis status is Negative"
+    else:
+        output_pred = "Sepsis status is Positive"
+        
+    return output_pred

ml_sepsis.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97255d7da1d3d172bc0d27e1a93cab01854d05204834d08c40c80adcf4f6fb22
+size 29225