Update app.py

app.py

@@ -4,7 +4,6 @@ import torch
 
 # Define available models
 model_options = {
-    "VML-1.1-K1-mini":"VortexIntelligence/VLM-1.1-K1-Preview",
     "VLM-1-K3": "VortexIntelligence/VLM-1-K3",
     "VLM-1-K2": "VortexIntelligence/VLM-1-K2",
     "VLM-1-K1": "VortexIntelligence/VLM-1-K1",
@@ -39,7 +38,7 @@ def generate_response(message, history, model_choice):
 
 # Create the Gradio interface
 with gr.Blocks() as demo:
-    model_choice = gr.Dropdown(choices=list(model_options.keys()), label="Select Model", value="VML-1.1-K1-mini")
+    model_choice = gr.Dropdown(choices=list(model_options.keys()), label="Select Model", value="VLM-1-K3")
     chatbot = gr.ChatInterface(
         lambda message, history: generate_response(message, history, model_choice.value),
         theme="soft",