Update app.py

app.py

@@ -1,30 +1,42 @@
 import gradio as gr
 import moondream as md
 from PIL import Image
+import torch
 
-# Load model secara otomatis
-# Library ini akan menangani download dan konfigurasi sendiri
+# Inisialisasi model secara lokal
+# Perhatikan: Kita memanggil md.vl() tapi pastikan model dimuat dengan benar
 model = md.vl(model="vikhyatk/moondream2")
 
 def answer_question(image, question):
     if image is None:
         return "No image provided"
     
-    # Konversi ke PIL Image jika perlu
+    # Pastikan format gambar benar
     image = image.convert("RGB")
     
-    # Proses encoding dan jawaban dalam satu baris simpel
-    encoded_image = model.encode_image(image)
-    answer = model.answer_question(encoded_image, question)
-    
-    return answer
+    try:
+        # Untuk library moondream terbaru mode lokal:
+        # Kita langsung menggunakan method .query()
+        result = model.query(image, question)
+        
+        # Output biasanya berupa dictionary {'answer': '...'}
+        if isinstance(result, dict) and 'answer' in result:
+            return result['answer']
+        return str(result)
+        
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 # Interface Gradio
 interface = gr.Interface(
     fn=answer_question,
-    inputs=[gr.Image(type="pil"), gr.Textbox(label="Question", value="What is the result of the math expression?")],
-    outputs=gr.Text(label="Answer"),
-    title="Moondream Solver (Stable Version)"
+    inputs=[
+        gr.Image(type="pil", label="Upload Captcha"), 
+        gr.Textbox(label="Question", value="What is the text or number in this image?")
+    ],
+    outputs=gr.Text(label="Result"),
+    title="Moondream Solver (Local Stable)",
+    description="Menggunakan library moondream native untuk stabilitas tinggi."
 )
 
 if __name__ == "__main__":