Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+import random
+
+# Function to simulate the prediction
+def predict_equipment_usage(hours_used):
+    # Example logic: Predict 'Repair' if usage is greater than 8 hours
+    prediction = "Repair" if hours_used > 8 else "Normal"
+    confidence = random.uniform(0.7, 1.0)  # Random confidence
+    return prediction, confidence
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=predict_equipment_usage, 
+    inputs="number",  # Input is a number (hours used)
+    outputs=["text", "number"],  # Output is prediction (text) and confidence (number)
+    live=True,  # Makes it responsive
+    title="Equipment Usage Prediction"
+)
+
+iface.launch()