Upload app.py

app.py

@@ -1,13 +1,4 @@
-import os
-if os.environ.get("SPACES_ZERO_GPU") is not None:
-    import spaces
-else:
-    class spaces:
-        @staticmethod
-        def GPU(func):
-            def wrapper(*args, **kwargs):
-                return func(*args, **kwargs)
-            return wrapper
+#import spaces
 import torch
 import re
 import gradio as gr
@@ -34,7 +25,7 @@ moondream = AutoModelForCausalLM.from_pretrained(
 ).to(device)
 moondream.eval()
 
-@spaces.GPU
+#@spaces.GPU
 def answer_question(img, prompt):
     image_embeds = moondream.encode_image(img)
     streamer = TextIteratorStreamer(tokenizer, skip_special_tokens=True)