use remote repo

app.py

@@ -4,7 +4,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
-model = AutoModelForCausalLM.from_pretrained("salt/RandomPrompt-v1")
+model = AutoModelForCausalLM.from_pretrained("saltacc/RandomPrompt-v1")
 
 model.to(device)
 
@@ -26,5 +26,5 @@ def detect(text_in, max_length):
     return text
 
 
-iface = gr.Interface(fn=detect, inputs=[gr.Textbox(), gr.Slider(50, 200, default=120)], outputs=gr.TextArea())
+iface = gr.Interface(fn=detect, inputs=[gr.Textbox(), gr.Slider(100, 200, default=120)], outputs=gr.TextArea())
 iface.launch()