Delete app1.py

app1.py

@@ -1,30 +0,0 @@
-import gradio as gr
-import pandas as pd
-import numpy as np
-import joblib
-
-# Load the trained model
-model = joblib.load("predictive_maintenance_model.pkl")
-
-# Define the prediction function
-def predict_maintenance(feature1, feature2, feature3, feature4):
-    input_data = np.array([[feature1, feature2, feature3, feature4]])  # Modify according to your dataset
-    prediction = model.predict(input_data)
-    return f"Predicted Maintenance Requirement: {prediction[0]}"
-
-# Create the Gradio interface
-interface = gr.Interface(
-    fn=predict_maintenance,
-    inputs=[
-        gr.Number(label="Feature 1"),
-        gr.Number(label="Feature 2"),
-        gr.Number(label="Feature 3"),
-        gr.Number(label="Feature 4"),
-    ],
-    outputs=gr.Textbox(label="Prediction"),
-    title="Predictive Maintenance for Industrial Equipment",
-    description="Enter sensor readings to predict maintenance requirements."
-)
-
-# Launch the app
-interface.launch()