Use older stable gradio 4.19.2 with matching gradio_client

app.py

@@ -1,5 +1,5 @@
 """
-Gradio UI application for Batik Classification using VGG16 model
+Gradio UI application for Batik Classification
 Optimized for Hugging Face Spaces deployment
 """
 import gradio as gr
@@ -21,7 +21,6 @@ transform = None
 
 
 def load_model():
-    """Load VGG16 model and configuration"""
     global model, class_names, transform
 
     try:
@@ -95,11 +94,11 @@ def predict_image(image):
         Tuple of (top_k_dict, formatted_text)
     """
     global model, transform, class_names
-    
+
     try:
         if image is None:
             return None, "❌ Silakan upload gambar batik terlebih dahulu"
-        
+
         if model is None:
             return None, "❌ Model belum dimuat. Silakan refresh halaman."
 
@@ -157,14 +156,13 @@ print("✅ Model ready!")
 
 # Create Gradio interface
 with gr.Blocks(
-    title="Batik Classification - VGG16",
+    title="Batik Classification",
     theme=gr.themes.Soft(),
     css=".gradio-container {max-width: 1200px; margin: auto;}"
 ) as demo:
 
     gr.Markdown("""
     # 🎨 Klasifikasi Motif Batik Indonesia
-    ### Menggunakan Model VGG16 Deep Learning
 
     Upload gambar batik untuk mengetahui motif dan asalnya!
     **Total 111 motif batik** dari berbagai daerah di Indonesia 🇮🇩
@@ -207,7 +205,6 @@ with gr.Blocks(
     gr.Markdown("""
     ---
     ### 📋 Tentang Model
-    - **Arsitektur:** VGG16 (Modified)
     - **Dataset:** 111 Motif Batik Indonesia
     - **Kategori:** Batik dari Jawa Tengah, Jawa Timur, Jawa Barat, Bali, Jakarta, Kalimantan, Lampung
 

requirements.txt

@@ -1,8 +1,9 @@
 # Requirements untuk Gradio App
-gradio==4.31.0
+gradio==4.19.2
+gradio_client==0.10.1
 torch==2.1.0
 torchvision==0.16.0
 Pillow>=10.0.0
 numpy>=1.24.0
-huggingface_hub==0.23.0
+huggingface_hub==0.21.4
 requests