Update app.py

app.py

@@ -1,13 +1,24 @@
+import os
+import tensorflow as tf
+from keras.models import load_model
+from tensorflow.keras.losses import MeanSquaredError
 import cv2
 import numpy as np
 import pandas as pd
 import gradio as gr
-from keras.models import load_model
 from sklearn.preprocessing import OneHotEncoder, StandardScaler
-from tensorflow.keras.losses import MeanSquaredError  # Importing the built-in MSE loss
 
-# Load the pre-trained model
-loaded_model = load_model('solar_irradiance_model.h5')
+# Disable GPU if not needed
+os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
+
+# Load and compile the model
+def load_and_compile_model(model_path):
+    model = load_model(model_path)
+    model.compile(optimizer='adam', loss=MeanSquaredError())
+    return model
+
+# Load the model and compile it
+loaded_model = load_and_compile_model('solar_irradiance_model.h5')
 
 # Load the dataset for encoder and scaler setup
 data = pd.read_csv('Solar_Irradiance.csv')
@@ -23,6 +34,8 @@ scaler = StandardScaler()
 numerical_features = features[['Latitude', 'Longitude', 'Panel_Capacity(W)', 'Panel_Efficiency', 'Wind_Speed(km/h)', 'Cloud_Cover(%)', 'temperature (°f)']]
 scaler.fit(numerical_features)
 
+# The rest of your code continues...
+
 # Shadow Removal Function
 def remove_shadows(image):
     """Removes shadows using illumination normalization."""