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app_gradio.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan  3 18:57:20 2023
+
+@author: pauli
+"""
+
+import pandas as pd
+import pickle
+from sklearn.model_selection import train_test_split
+#from sklearn.metrics import accuracy_score, precision_score,recall_score
+from sklearn.svm import SVC
+from imblearn.over_sampling import SMOTE
+import gradio as gr
+
+
+data = pd.read_csv("C:/Users/pauli/Downloads/heart_failure_clinical_records_dataset.csv")
+
+Features = list(('age', 'serum_creatinine','ejection_fraction'))
+
+x = data[Features]
+y = data["DEATH_EVENT"]
+
+x_train,x_test,y_train,y_test = train_test_split(x,y, test_size=0.2,shuffle=False)
+
+smote = SMOTE(sampling_strategy = 'minority', random_state = 2)
+x_SMOTE, y_SMOTE = smote.fit_resample(x_train,y_train)
+
+svc = SVC()
+
+svc.fit(x_SMOTE, y_SMOTE)
+
+with open("model.pkl", "wb") as f:
+    pickle.dump(svc, f)
+    
+
+def make_prediction(age,serum_creatinine,ejection_fraction):
+    with open("model.pkl", "rb") as f:
+        svc  = pickle.load(f)
+        preds = svc.predict([[age,serum_creatinine,ejection_fraction]])
+    if preds == 1:
+            return "Patient is at high risk of dying from heart failure"
+    return "Patient is at low risk of dying from heart failure"
+
+ 
+age_input = gr.Number(label = "Enter the age of the patient")
+#anaemia_input = gr.Radio(["No Anaemia","Anaemia is Present"], type = "index", label ="Does patient have Anaemia?")
+#dm_input = gr.Radio(["No DM","DM is Present"], type = "index",label = "Does patient have Diabetes Mellitus (DM)?")
+#cpk_input = gr.Number (label = "Enter level of CPK enzyme (mcg)")
+cr_input = gr.Number(label = "Enter level of serum creatinine (mg)")
+ef_input = gr.Number(label = "Enter ejection fraction (%)")
+ 
+
+output = gr.Textbox(label= "Heart Failure Risk:", lines= 3)
+output.style(height='30', rounded= True)
+
+
+
+with gr.Blocks(css = ".gradio-container {background-color: #10217d} #md {width: 150%} ") as demo:
+    
+    gr.Markdown(value= """
+                
+                 # **<span style="color:white">Heart Failure Predictor</span>**
+                
+                """, elem_id="md")
+    
+    gr.Interface(make_prediction, inputs=[age_input,cr_input,ef_input], 
+                       outputs=output, flagging_options=["clinical suspicion is high for heart failure but model says otherwise", 
+                                                         "clinical suspicion is low for heart failure but model says otherwise"])
+                                              #css = " div {background-color: red}",
+                                              #title = "Heart Failure Predictor")
+    gr.Markdown("""
+                ## <span style="color:#d7baad">Input Examples</span>
+                <span style="color:#d7baad">Click on the examples below for a demo of how the app runs.</span>
+                """)
+    gr.Examples(
+        [[49, 1, 30], [65,2.7,30]],
+        [age_input,cr_input,ef_input], output,
+        make_prediction,
+        cache_examples=True)
+                                              
+        
+demo.launch()
+
+#
+
+# app = gr.Interface(make_prediction, inputs=[age_input,anaemia_input,cpk_input, dm_input,
+#        cr_input,ef_input], 
+#                    outputs=output, flagging_options=["clinical suspicion is high for heart failure but model says otherwise", 
+#                                                      "clinical suspicion is low for heart failure but model says otherwise"],
+#                    title = "Heart Failure Predictor",
+#                    css="div {background-color: red}")
+# app.launch()

flagged/log.csv

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+Enter the age of the patient,Does patient have Anaemia?,Enter level of CPK enzyme (mcg),Does patient have Diabetes Mellitus (DM),Enter level of serum creatinine (mg),Enter ejection fraction (%),Heart Failure Risk:,flag,username,timestamp
+40,No Anaemia,23,No DM,0.5,80,Patient is at high risk of dying from heart failure,clinical suspicion is low for heart failure but model says otherwise,,2023-01-04 01:05:23.669526
+40,No Anaemia,23,No DM,0.5,80,Patient is at high risk of dying from heart failure,clinical suspicion is low for heart failure but model says otherwise,,2023-01-04 01:05:26.293978
+40,No Anaemia,23,No DM,0.5,80,Patient is at high risk of dying from heart failure,clinical suspicion is low for heart failure but model says otherwise,,2023-01-04 01:05:29.574623
+40,No Anaemia,23,No DM,0.5,80,Patient is at high risk of dying from heart failure,clinical suspicion is low for heart failure but model says otherwise,,2023-01-04 01:05:31.546521
+,,,,,,,clinical suspicion is low for heart failure but model says otherwise,,2023-01-04 01:05:36.083167

gradio_cached_examples/20/log.csv

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+Heart Failure Risk:,flag,username,timestamp
+Patient is at low risk of dying from heart failure,,,2023-01-04 13:48:27.880651
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:48:27.884651

gradio_cached_examples/39/log.csv

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+Heart Failure Risk:,flag,username,timestamp
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:34:35.851691
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:34:35.859691

gradio_cached_examples/60/log.csv

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+Heart Failure Risk:,flag,username,timestamp
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:38:40.425607
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:38:40.430606

gradio_cached_examples/81/log.csv

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+Heart Failure Risk:,flag,username,timestamp
+Patient is at low risk of dying from heart failure,,,2023-01-04 13:42:46.476890
+Patient is at high risk of dying from heart failure,,,2023-01-04 13:42:46.481893

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:499139aa7f03f060bc8d3a7f89a010a862364794fde294968307f99d08571258
+size 10809