Update app.py

app.py

@@ -1,6 +1,6 @@
-import spaces
+#import spaces
 import gradio as gr
-from huggingface_hub import InferenceClient
+#from huggingface_hub import InferenceClient
 from torch import nn
 from transformers import AutoModel, AutoProcessor, AutoTokenizer, PreTrainedTokenizer, PreTrainedTokenizerFast, AutoModelForCausalLM
 from pathlib import Path
@@ -156,7 +156,7 @@ image_adapter.eval()
 image_adapter.to("cuda")
 
 
-@spaces.GPU()
+#@spaces.GPU()
 @torch.no_grad()
 def stream_chat(input_image: Image.Image, caption_type: str, caption_length: str | int, extra_options: list[str], name_input: str, custom_prompt: str) -> tuple[str, str]:
 	torch.cuda.empty_cache()
@@ -333,4 +333,4 @@ with gr.Blocks() as demo:
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share = True)