Update app.py

app.py

@@ -1,4 +1,3 @@
-# app.py
 import gradio as gr
 import pandas as pd
 import joblib
@@ -8,7 +7,7 @@ data = pd.read_csv('Iris.csv')
 data.drop(columns=['Id'], inplace=True)
 
 # Load the saved model
-model = joblib.load('best_random_forest_model.pkl')
+model = joblib.load('model.pkl')
 
 def classify_iris(sepal_length, sepal_width, petal_length, petal_width):
     """Classify iris species based on input features."""
@@ -28,4 +27,4 @@ outputs = gr.Textbox(label="Predicted Iris Species")
 
 description = "This app classifies iris species (Setosa, Versicolor, Virginica) based on the given features."
 
-gr.Interface(fn=classify_iris, inputs=inputs, outputs=outputs, title="Iris Species Classifier", description=description).launch()
+gr.Interface(fn=classify_iris, inputs=inputs, outputs=outputs, title="Iris Species Classifier", description=description).launch()