penyesuaian app.py dan update dependencies requirements.txt

app.py

@@ -10,10 +10,14 @@ from io import BytesIO
 from PIL import Image
 import uvicorn
 from fastapi.middleware.cors import CORSMiddleware
+import tensorflow as tf
+tf.config.set_visible_devices([], 'GPU')
 
-
-# Load model dan label
+# Logging setelah model berhasil dimuat
+logger.info("Loading model...")
 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",
@@ -89,13 +93,13 @@ gradio_app = gr.Interface(
         gr.Textbox(label="Deskripsi Lengkap", lines=20, max_lines=50),
         gr.HTML(label="Link Lokasi"),
     ],
-    allow_flagging="never",
+    flagging_mode="never",
     title="Klasifikasi Gambar",
     description="Upload gambar, sistem akan mengklasifikasikan dan memberikan deskripsi mengenai gambar tersebut."
 )
 
 # Mount Gradio ke FastAPI
-app = gr.mount_gradio_app(app, gradio_app, path="")
+app = gr.mount_gradio_app(app, gradio_app, path="/gradio")
 
 # Jalankan app
 if __name__ == "__main__":

requirements.txt

@@ -3,3 +3,6 @@ keras
 tensorflow
 gradio
 torch
+fastapi
+uvicorn
+pillow