Update app.py

app.py

@@ -1,6 +1,3 @@
-import warnings
-warnings.filterwarnings('ignore')
-
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -25,9 +22,7 @@ plt.rcParams['figure.dpi'] = 200
 # Configure Seaborn plot styles: Set background color and use dark grid
 sns.set(rc={'axes.facecolor': '#faded9'}, style='darkgrid')
 
-df = pd.read_csv("/content/heart.csv")
-df
-df.info()
+df = pd.read_csv("heart.csv")
 
 # Define the continuous features
 continuous_features = ['age', 'trestbps', 'chol', 'thalach', 'oldpeak']
@@ -423,12 +418,6 @@ ax.set_yticks([])
 # Set x-axis limit
 ax.set_xlim([0, 1.2])
 
-# Add title and xlabel
-plt.title("Recall for Positive Class across Models", fontweight='bold', fontsize=22)
-plt.xlabel('Recall Value', fontsize=16)
-plt.show()
-
-!pip install gradio
 import gradio as gr
 import numpy as np
 from sklearn.ensemble import RandomForestClassifier