commit 2

algo.py

@@ -1,21 +0,0 @@
-
-def assess_risk(age, gender, mother_education, father_education, genetical, prenatal_problem, postnatal_problem, identified_age):
-    input_data = [[age, gender, mother_education, father_education, genetical, prenatal_problem, postnatal_problem, identified_age]]
-    predicted_loss = model.predict(input_data)[0]
-    if predicted_loss >= 50:
-        return "High risk of hearing loss detected. We recommend consulting a specialist."
-    else:
-        return "Low risk of hearing loss detected. Regular check-ups are recommended."
-
-# Example usage
-age = 5
-gender = 'F'
-mother_education = 'DEGREE'
-father_education = 'INTER'
-genetical = 1
-prenatal_problem = 0
-postnatal_problem = 1
-identified_age = 1.5
-
-result = assess_risk(age, gender, mother_education, father_education, genetical, prenatal_problem, postnatal_problem, identified_age)
-print(result)

app.py

@@ -5,40 +5,52 @@ from sklearn.model_selection import train_test_split
 
 # Load the data
 data = pd.read_csv('hearing.csv')
+data = data.drop("AGE",axis=1)
+data = data.dropna(axis=0)
 
 # Split the data into features and target
-X = data.drop('HEARING_LOSS', axis=1)
-y = data['HEARING_LOSS']
+X = data.drop('HEARING LOSS(100)/LESS', axis=1)
+y = data['HEARING LOSS(100)/LESS']
+
 
 # Split the data into training and test sets
-X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
 
 # Train the model
-model = Lasso()
+model = Lasso(alpha=0.1,random_state=42)
 model.fit(X_train, y_train)
 
-def predict_hearing_loss(GENDER, GENETICAL, MENARIKAM, PROBLEM_PRENATAL, PROBLEM_POSTNATAL, DURING_BIRTH, SIBLINGS_PROBLEM, LEFT_EAR, RIGHT_EAR):
+def predict_hearing_loss(NAME,AGE,GENDER, GENETICAL, MENARIKAM, PROBLEM_PRENATAL, PROBLEM_POSTNATAL, DURING_BIRTH, SIBLINGS_PROBLEM, LEFT_EAR, RIGHT_EAR):
     # Create a DataFrame from the inputs
     input_data = pd.DataFrame([{
-        'GENDER': GENDER,
-        'GENETICAL': GENETICAL,
-        'MENARIKAM': MENARIKAM,
-        'PROBLEM_PRENATAL': PROBLEM_PRENATAL,
-        'PROBLEM_POSTNATAL': PROBLEM_POSTNATAL,
-        'DURING_BIRTH': DURING_BIRTH,
-        'SIBLINGS_PROBLEM': SIBLINGS_PROBLEM,
-        'LEFT_EAR': LEFT_EAR,
-        'RIGHT_EAR': RIGHT_EAR
+        'GENDER': 1 if GENDER == 'Male' else 0,
+        'GENETICAL': 1 if GENETICAL == 'Yes' else 0,
+        'MENARIKAM': 1 if MENARIKAM == 'Yes' else 0,
+        'PROBLEM_PRENATAL': 1 if PROBLEM_PRENATAL == 'Yes' else 0,
+        'PROBLEM_POSTNATAL': 1 if PROBLEM_POSTNATAL == 'Yes' else 0,
+        'DURING_BIRTH': 1 if DURING_BIRTH == 'Yes' else 0,
+        'SIBLINGS_PROBLEM': 1 if SIBLINGS_PROBLEM == 'Yes' else 0,
+        'LEFT_N': LEFT_EAR,
+        'RIGHT_N': RIGHT_EAR
     }])
-    
     # Make the prediction
     prediction = model.predict(input_data)
-    
-    return prediction[0]
+
+    rec = ""
+    if prediction[0] >= 77:
+        rec = "Severe hearing loss detected later. Immediate attention needed. Seek professional medical advice if not taken already and consider hearing aids or cochlear implants"
+    elif prediction[0] >=50:
+        rec = "Moderate hearing loss detected. Schedule regular hearing assessments and consider using hearing aids if necessary."
+    else:
+        rec = "Minor hearing loss detected. Keep monitoring the child's hearing and consult a doctor if there are any concerns."
+        
+    return prediction[0],rec
 
 interface = gr.Interface(
     fn=predict_hearing_loss,
     inputs=[
+        gr.Textbox(label="Name of the Pupil"),
+        gr.Number(label="AGE"),
         gr.Radio(['Male', 'Female'], label="GENDER"),
         gr.Radio(['Yes', 'No'], label="GENETICAL"),
         gr.Radio(['Yes', 'No'], label="MENARIKAM"),
@@ -49,8 +61,12 @@ interface = gr.Interface(
         gr.Number(label="LEFT_EAR"),
         gr.Number(label="RIGHT_EAR")
     ],
-    outputs=gr.Textbox(label="HEARING_LOSS", type="text"),
+    outputs=[gr.Textbox(label="HEARING_LOSS", type="text"),gr.Textbox(label="Recommendation", type="text")],
     title="Hearing Health Risk Assessment Tool",
+    theme="gradio/monochrome",
+    allow_flagging=False,
+    css="footer {display: none !important}",
+    article=article
     description="Input the information to assess the risk of hearing health issues."
 )
 

hearing.csv

@@ -0,0 +1,79 @@
+AGE,HEARING LOSS(100)/LESS,GENDER,GENETICAL,MENARIKAM,PROBLEM_PRENATAL,PROBLEM_POSTNATAL,DURING_BIRTH,SIBLINGS_PROBLEM,LEFT_N,RIGHT_N
+4,90,0,0,0,0,1,0,1,90,90
+5,75,0,1,1,0,0,0,1,70,75
+5,100,0,0,0,0,0,0,0,100,100
+7,,1,0,0,1,0,0,1,102,100
+7,89,1,1,1,0,1,1,1,90,89
+7,98,0,1,1,0,0,0,1,98,98
+4,100,1,1,1,0,0,0,1,100,100
+8,60,0,0,0,0,0,0,1,60,70
+6,45,1,0,0,0,0,0,1,45,45
+4,90,0,1,1,0,0,1,1,90,90
+5,85,1,0,1,0,0,1,1,85,70
+6,90,0,0,0,1,1,1,1,90,85
+8,95,1,0,0,1,1,1,1,90,85
+5,68,0,1,1,0,0,1,0,68,68
+5,100,1,0,0,0,1,1,1,100,100
+6,100,0,0,0,0,0,1,0,100,100
+5,100,1,1,1,0,0,1,0,100,100
+4,90,1,0,0,0,0,0,0,90,90
+3.5,90,1,1,1,0,0,1,0,90,90
+4,90,0,0,0,1,0,1,0,90,90
+3,100,1,1,1,0,0,1,0,100,100
+4,100,1,0,0,0,0,1,0,100,100
+5,100,0,0,0,0,0,1,0,100,100
+5,100,1,0,0,1,1,1,0,70,100
+5,80,0,0,0,0,0,1,1,80,75
+15,100,0,0,0,0,1,1,1,90,100
+3,,1,1,1,0,0,0,0,90,80
+3.5,,1,1,1,0,0,0,1,90,78
+4,,1,1,1,0,0,0,1,87,93
+6,84,1,1,1,0,0,0,1,87,93
+5,,1,0,0,0,0,0,0,90,90
+5,70,1,0,0,0,0,0,0,70,70
+8,,1,0,0,0,0,0,0,76,96
+3.5,90,1,1,1,0,0,0,0,70,90
+7,,0,1,1,0,0,0,1,70,80
+4,,0,0,0,0,0,0,0,100,90
+3,90,1,0,0,0,0,1,0,90,90
+3.5,100,1,0,0,0,1,1,0,100,100
+2.5,90,1,1,1,1,1,0,0,90,90
+4,95,1,0,0,0,1,1,0,100,90
+6,100,1,1,1,1,1,1,0,97,65
+4.5,80,1,1,1,0,0,0,0,85,75
+5,100,1,1,1,0,0,0,0,100,100
+6,90,0,1,1,0,0,0,0,50,95
+5,90,1,0,0,0,0,0,0,90,90
+4,100,0,1,1,0,0,0,0,100,100
+4.5,100,1,0,0,0,0,0,0,100,100
+5,100,1,0,0,0,0,1,0,90,100
+4,60,0,0,0,0,0,0,0,60,60
+6.5,100,1,1,1,0,0,1,1,100,100
+3,100,0,1,1,0,0,1,1,100,100
+7,75,0,1,1,0,0,1,0,45,20
+6,100,1,0,0,0,0,1,0,99,100
+5,90,1,0,0,0,0,0,0,90,90
+4,90,1,1,1,0,0,1,0,90,90
+6,75,1,1,1,1,1,1,0,70,75
+6,100,1,1,1,1,1,1,1,100,100
+6,100,0,0,0,0,0,1,0,100,100
+5,90,0,1,1,0,0,1,0,95,95
+3.5,110,0,1,1,0,0,1,0,110,110
+7,90,0,0,0,0,0,1,0,93,98
+6,60,0,0,0,1,0,1,0,60,40
+3.5,90,1,1,1,1,1,0,0,90,90
+5,68,1,0,0,0,0,0,0,70,70
+4,50,1,1,1,1,1,0,0,50,50
+6,75,1,1,1,0,0,1,0,80,90
+8,80,1,0,0,1,1,1,0,85,75
+3.5,80,1,0,0,0,0,0,0,80,80
+3,75,0,0,0,0,0,1,0,75,75
+7,90,0,0,0,0,0,1,0,90,90
+5,90,1,0,0,0,0,0,0,83,90
+6,80,1,1,1,0,0,1,0,80,100
+7.5,90,1,1,1,0,0,0,0,85,95
+5,100,1,0,0,1,1,1,0,100,100
+6,90,1,0,0,0,1,1,0,90,90
+5,90,1,1,1,0,0,1,0,90,90
+5,90,0,0,0,0,0,1,0,90,90
+6,100,0,1,1,0,0,1,0,100,100

requirements.txt

@@ -27,6 +27,7 @@ huggingface-hub==0.23.3
 idna==3.7
 importlib_resources==6.4.0
 Jinja2==3.1.4
+joblib==1.4.2
 jsonschema==4.22.0
 jsonschema-specifications==2023.12.1
 kiwisolver==1.4.5
@@ -54,11 +55,14 @@ requests==2.32.3
 rich==13.7.1
 rpds-py==0.18.1
 ruff==0.4.8
+scikit-learn==1.5.0
+scipy==1.13.1
 semantic-version==2.10.0
 shellingham==1.5.4
 six==1.16.0
 sniffio==1.3.1
 starlette==0.37.2
+threadpoolctl==3.5.0
 tomlkit==0.12.0
 toolz==0.12.1
 tqdm==4.66.4