Update app.py

app.py

@@ -9,9 +9,9 @@ model_cache = {}
 
 # Available models
 AVAILABLE_MODELS = {
-    "Nous-1-4B": "NoemaResearch/Nous-1-4B",
-    "Nous-1-8B": "NoemaResearch/Nous-1-8B",
-    "Nous-1-2B": "NoemaResearch/Nous-1-2B",
+    "Apollo-1-4B": "NoemaResearch/Apollo-1-4B",
+    "Apollo-1-8B": "NoemaResearch/Apollo-1-8B",
+    "Apollo-1-2B": "NoemaResearch/Apollo-1-2B",
 }
 
 @spaces.GPU
@@ -188,14 +188,14 @@ def generate(
 def create_interface():
     with gr.Blocks(title="Multi-Model Chat", theme=gr.themes.Soft()) as demo:
         gr.Markdown("""
-        # 🚀 Nous-1 Model Chat Interface
+        # 🚀 Apollo-1 Model Chat Interface
         
         Chat with the Nous-1 models by Noema Research.
         
         **Available Models:**
-        - Nous-1-4B (4 billion parameters)
-        - Nous-1-8B (8 billion parameters)
-        - Nous-1-2B (2 billion parameters)
+        - Apollo-1-4B (4 billion parameters)
+        - Apollo-1-8B (8 billion parameters)
+        - Apollo-1-2B (2 billion parameters)
         """)
         
         with gr.Row():
@@ -285,12 +285,12 @@ def create_interface():
         gr.Markdown("""
         ---
         
-        ### About the Nous-1 Models
-        **Nous-1-2B**: 2 billion parameter model by Noema Research, designed for fast and quick infrencing
+        ### About the Apollo-1 Models
+        **Apollo-1-2B**: 2 billion parameter model by Noema Research, designed for fast and quick infrencing
         
-        **Nous-1-4B**: 4 billion parameter model by Noema Research, optimisd for efficient conversation and text generation
+        **Apollo-1-4B**: 4 billion parameter model by Noema Research, optimisd for efficient conversation and text generation
         
-        **Nous-1-8B**: 8 billion parameter model by Noema Research, offering enhanced capabilities and better performance for complex tasks
+        **Apollo-1-8B**: 8 billion parameter model by Noema Research, offering enhanced capabilities and better performance for complex tasks
         
         All models are designed for conversational AI and support various text generation tasks. The 8B model provides more sophisticated responses but requires more computational resources.