force cuda

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import AutoProcessor, Idefics3ForConditionalGeneration, image_utils
 import torch
-device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
+device = torch.device('cuda') # if torch.cuda.is_available() else torch.device('cpu')
 print(f"Using device: {device}")
 model_id="eltorio/IDEFICS3_ROCO"
 # model = AutoModelForImageTextToText.from_pretrained(model_id).to(device)
@@ -38,4 +38,4 @@ def infere(image):
     return generated_texts
 
 radiotest = gr.Interface(fn=infere, inputs="image", outputs="text")
-radiotest.launch()
+radiotest.launch(share=True)