Spaces:
Runtime error
Runtime error
Anupam202224
commited on
Commit
•
49dda5a
1
Parent(s):
6b051bc
Update app.py
Browse files
app.py
CHANGED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
import pickle
|
3 |
+
import pandas as pd
|
4 |
+
|
5 |
+
# Load the saved model (from the Colab notebook)
|
6 |
+
with open("/content/logistic_model_pipeline.pkl2", "rb") as f:
|
7 |
+
model = pickle.load(f)
|
8 |
+
|
9 |
+
# Define the prediction function (from the Colab notebook)
|
10 |
+
def predict_heart_disease(age, sex_male, cigs_per_day, tot_chol, sys_bp, glucose):
|
11 |
+
# Create a DataFrame for the input
|
12 |
+
input_data = pd.DataFrame({
|
13 |
+
'age': [age],
|
14 |
+
'Sex_male': [sex_male],
|
15 |
+
'cigsPerDay': [cigs_per_day],
|
16 |
+
'totChol': [tot_chol],
|
17 |
+
'sysBP': [sys_bp],
|
18 |
+
'glucose': [glucose]
|
19 |
+
})
|
20 |
+
|
21 |
+
# Convert DataFrame to NumPy array
|
22 |
+
input_data_array = input_data.values
|
23 |
+
|
24 |
+
# Make prediction using the loaded model (replace with your model's prediction logic)
|
25 |
+
prob = model.predict_proba(input_data_array)[0, 1] # Assuming a probability prediction
|
26 |
+
return f"The probability of having heart disease is: {prob * 100:.2f}%"
|
27 |
+
|
28 |
+
# Create the Gradio interface
|
29 |
+
with gr.Blocks() as interface:
|
30 |
+
gr.Markdown("## Heart Disease Risk Prediction")
|
31 |
+
gr.Markdown("Enter your details below to check the probability of having heart disease.")
|
32 |
+
|
33 |
+
# Age input with helper text
|
34 |
+
age = gr.Slider(label="Age", minimum=20, maximum=100, value=50, step=1, info="Enter your age (20-100).")
|
35 |
+
|
36 |
+
# Sex input with helper text
|
37 |
+
sex_male = gr.Radio(label="Sex", choices=[1, 0], value=1, info="Select your sex: 1 for Male, 0 for Female.")
|
38 |
+
|
39 |
+
# Cigarettes per day input with helper text
|
40 |
+
cigs_per_day = gr.Slider(label="Cigarettes per Day", minimum=0, maximum=60, value=10, step=1, info="Enter the number of cigarettes you smoke per day (0-60).")
|
41 |
+
|
42 |
+
# Total cholesterol input with helper text
|
43 |
+
tot_chol = gr.Slider(label="Total Cholesterol (mg/dL)", minimum=100, maximum=400, value=200, step=1, info="Enter your total cholesterol level (100-400 mg/dL).")
|
44 |
+
|
45 |
+
# Systolic blood pressure input with helper text
|
46 |
+
sys_bp = gr.Slider(label="Systolic Blood Pressure (mmHg)", minimum=90, maximum=200, value=120, step=1, info="Enter your systolic blood pressure (90-200 mmHg).")
|
47 |
+
|
48 |
+
# Glucose input with helper text
|
49 |
+
glucose = gr.Slider(label="Glucose Level (mg/dL)", minimum=50, maximum=300, value=100, step=1, info="Enter your glucose level (50-300 mg/dL).")
|
50 |
+
|
51 |
+
# Predict button and output
|
52 |
+
predict_btn = gr.Button("Predict")
|
53 |
+
output = gr.Textbox(label="Prediction")
|
54 |
+
|
55 |
+
# Set up the prediction process
|
56 |
+
predict_btn.click(predict_heart_disease, inputs=[age, sex_male, cigs_per_day, tot_chol, sys_bp, glucose], outputs=output)
|
57 |
+
|
58 |
+
# Launch the interface
|
59 |
+
interface.launch(share=True)
|