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app.py

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+# import the necessary packages
+import gradio as gr
+import pickle
+import pandas as pd
+
+# Load the saved model using pickle
+with open(r'Stroke_Prediction/model.pkl', 'rb') as file:
+    model = pickle.load(file)
+
+# Define a function to make predictions
+
+
+def predict(gender, age, hypertension, heart_disease, ever_married, work_type, residence_type, avg_glucose_level, bmi, smoking_status):
+    # Convert the input into a pandas DataFrame
+    input_df = pd.DataFrame([[gender, age, hypertension, heart_disease, ever_married, work_type, residence_type, avg_glucose_level, bmi, smoking_status]],
+                            columns=['gender', 'age', 'hypertension', 'heart_disease', 'ever_married', 'work_type',
+                                     'Residence_type', 'avg_glucose_level', 'bmi', 'smoking_status'])
+    # Predict the stroke probability
+    prediction = model.predict_proba(input_df)[0][1]
+    # Return the prediction
+    result = "The probability of stroke is {:.2f}%".format(prediction * 100) #to give a percentage 
+    return result
+
+
+# Create the input and output interfaces
+gender = gr.inputs.Radio(choices=["Male", "Female"], label="Gender")
+age = gr.inputs.Slider(minimum=0, maximum=100)
+hypertension = gr.inputs.Radio(choices=["Yes", "No"], label="Hypertension")
+heart_disease = gr.inputs.Radio(choices=["Yes", "No"], label="Heart Disease")
+ever_married = gr.inputs.Radio(choices=["Yes", "No"], label="Ever Married")
+work_type = gr.inputs.Dropdown(
+    ["Private", "Self-employed", "Govt_job", "Children", "Never_worked"], label="Work Type")
+residence_type = gr.inputs.Radio(
+    choices=["Urban", "Rural"], label="Residence Type")
+avg_glucose_level = gr.inputs.Number(label="Average Glucose Level")
+bmi = gr.inputs.Slider(minimum=0, maximum=60, label="BMI")
+smoking_status = gr.inputs.Dropdown(
+    ["formerly smoked", "never smoked", "smokes"], label="Smoking Status")
+
+# Create the interface
+inputs = [gender, age, hypertension, heart_disease, ever_married,
+          work_type, residence_type, avg_glucose_level, bmi, smoking_status]
+outputs = gr.outputs.Textbox(label="Stroke Probability")
+
+# Launch the interface
+demo = gr.Interface(fn=predict, inputs=inputs, outputs=outputs, title="Stroke Prediction",
+                    description="Fill in the details and click submit to check the probability of stroke")
+demo.launch(share=True)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:688d2f5b4ab52ec8fd1b4634c51428e71a1c82eddd943e6a849288673bebd0b6
+size 257370

requierments.txt

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+gradio
+pickle
+pandas