penyesuaian waring app.py

app.py

@@ -1,3 +1,7 @@
+import os
+# Suppress info logs from TensorFlow (Point 1)
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' 
+
 import gradio as gr
 import numpy as np
 from keras.preprocessing import image
@@ -14,14 +18,13 @@ import tensorflow as tf
 tf.config.set_visible_devices([], 'GPU')
 import logging
 
+
 # Inisialisasi logger
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Logging setelah model berhasil dimuat
-logger.info("Loading model...")
+# Load model dan label
 model = load_model_from_files("model.json", "my_model.h5")
-logger.info("Model loaded successfully")
 
 labels = [
     "Benteng Vredeburg", "Candi Borobudur", "Candi Prambanan", "Gedung Agung Istana Kepresidenan",
@@ -107,5 +110,4 @@ app = gr.mount_gradio_app(app, gradio_app, path="/gradio")
 
 # Jalankan app
 if __name__ == "__main__":
-    uvicorn.run(app, host="127.0.0.1", port=8000)
-
+    uvicorn.run(app, host="127.0.0.1", port=8000)