Create app.py

app.py

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+import gradio as gr
+import numpy as np
+import pickle
+
+# Load the trained model
+with open('asthma_disease_model.pkl', 'rb') as file:
+ model = pickle.load(file)
+
+# Define the prediction function
+def predict_heart_disease(Age, Gender, BMI, Smoking, PhysicalActivity, DietQuality, SleepQuality, PollutionExposure, PollenExposure, DustExposure, PetAllergy, FamilyHistoryAsthma, HistoryOfAllergies, Eczema, HayFever, GastroesophagealReflux, Wheezing, ShortnessOfBreath, ChestTightness, Coughing, NighttimeSymptoms, ExerciseInduced):
+ male = 1 if male == "Male" else 0
+ currentSmoker = 1 if currentSmoker == "Yes" else 0
+ BPMeds = 1 if BPMeds == "Yes" else 0
+ prevalentStroke = 1 if prevalentStroke == "Yes" else 0
+ prevalentHyp = 1 if prevalentHyp == "Yes" else 0
+ diabetes = 1 if diabetes == "Yes" else 0
+ input_data = np.array([[male, age, currentSmoker, cigsPerDay, BPMeds, prevalentStroke, prevalentHyp, diabetes, BMI]])
+ prediction = model.predict(input_data)
+ return 'Heart Disease' if prediction[0] == 1 else 'No Heart Disease'
+
+# Define the input components
+inputs = [
+ gr.Number(label="Age"),
+ gr.Radio(choices=["Male","Female"], label="Sex")
+ gr.Number(value=float, label="What is your BMI?"),
+ gr.Radio(chpices=["Yes","No"], label="Do you smoke?"),
+ gr.Slider(label="Rate your physical activeness", minimum=0, maximum=10, step=0.1),
+ gr.Slider(label="Rate your diet quality", minimum=0, maximum=10, step=1),
+ gr.Slider(label="Rate your sleep quality", minimum=4, maximum=10, step=1),
+ gr.Slider(label="Rate your pollution exposure", minimum=0, maximum=10, step=1),
+ gr.Slider(label="Rate your pollen exposure", minimum=0, maximum=10, step=1),
+ gr.Slider(label="Rate your dust exposure", minimum=0, maximum=10, step=1),
+ gr.Checkbox(label="Pet Allergy"),
+ gr.Checkbox(label="Family History of Asthma"),
+ gr.Checkbox(label="Do you have history of allergies?"),
+ gr.Checkbox(label="Eczema"),
+ gr.Checkbox(label="Hay fever"),
+ gr.Checkbox(label="Do you have Gastroesophageal Reflux?"),
+ gr.Checkbox(label="Do you wheeze?"),
+ gr.Checkbox(label="Do you feel shortness of breath?"),
+ gr.Checkbox(label="Do you feel chest tightness?"),
+ gr.Checkbox(label="Do you Cough very often?"),
+ gr.Checkbox(label="Do you these symptoms occur in the night time?"),
+ gr.Checkbox(label="Do you these symptoms occur during exercise?"),
+ 
+]
+
+# Define the output component
+outputs = gr.Textbox(label="Prediction")
+
+# Create and launch the Gradio interface
+gr.Interface(fn=predict_heart_disease, inputs=inputs, outputs=outputs).launch()