Update app.py

app.py

@@ -26,7 +26,6 @@ The project aims to develop an anomaly detection model to predict whether the en
 *anomaly* - Whether this reading is anomalous (1) or not (0).
 """
 
-!pip install pyspark
 
 from pyspark.sql import SparkSession
 from pyspark.sql.functions import col, split, substring, when
@@ -177,15 +176,13 @@ print("Accuracy: ",accuracy)
 
 pipeline_model.write().overwrite().save("/content/trained_model")
 
-pip install gradio
-
 import gradio as gr
 from pyspark.ml import PipelineModel
 from pyspark.sql import SparkSession
 from pyspark.ml.feature import VectorAssembler
 
 
-loaded_model = PipelineModel.load("/content/trained_model")
+loaded_model = PipelineModel.load("trained_model")
 
 def predict(building_id, meter_reading, time, month, day, weekend):