Update app.py

app.py

@@ -5,25 +5,23 @@ from PIL import Image
 import base64
 import io
 
+# Modelo
 processor = AutoImageProcessor.from_pretrained("facebook/dinov2-base")
 model = AutoModel.from_pretrained("facebook/dinov2-base")
 
+# Recibe string base64
 def get_embedding(base64_str):
+    # Separar encabezado
     header, encoded = base64_str.split(",", 1)
-    image_data = base64.b64decode(encoded)
-    image = Image.open(io.BytesIO(image_data)).convert("RGB")
+    # Decodificar
+    image_bytes = base64.b64decode(encoded)
+    image = Image.open(io.BytesIO(image_bytes)).convert("RGB")
 
+    # Procesar
     inputs = processor(images=image, return_tensors="pt")
     with torch.no_grad():
         embeddings = model(**inputs).last_hidden_state[:, 0]
     return embeddings.squeeze().tolist()
 
-iface = gr.Interface(
-    fn=get_embedding,
-    inputs="text",  # ahora recibimos un string base64
-    outputs="json",
-    description="Microservicio para extraer embeddings desde base64."
-)
-
-iface.queue()  # 👈 Esta línea activa el sistema de event_id y polling
-iface.launch()
+# Gradio Interface
+gr.Interface(fn=get_embedding, inputs="text", outputs="json").launch()