attempt1 fix

app.py

@@ -21,33 +21,33 @@ LICENSE = """
 ---.
 """
 
-if not torch.cuda.is_available():
-    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
-
-MODELS = {}
-
 def load_model(model_id):
-    if model_id in MODELS:
-        return MODELS[model_id]
     model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", load_in_4bit=True)
     tokenizer = AutoTokenizer.from_pretrained(model_id)
     tokenizer.use_default_system_prompt = False
-    MODELS[model_id] = (model, tokenizer)
     return model, tokenizer
 
+if not torch.cuda.is_available():
+    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
+
+if torch.cuda.is_available():
+    model_id = "Nekochu/Luminia-13B-v3"
+    model, tokenizer = load_model(model_id)
+
+
 @spaces.GPU(duration=120)
 def generate(
-    model_id: str,
     message: str,
     chat_history: list[tuple[str, str]],
     system_prompt: str,
+    model_id: str = "Nekochu/Luminia-13B-v3",
     max_new_tokens: int = 1024,
     temperature: float = 0.6,
     top_p: float = 0.9,
     top_k: int = 50,
     repetition_penalty: float = 1.2,
 ) -> Iterator[str]:
-    model, tokenizer = load_model(model_id)  # Load or retrieve the selected model
+    model, tokenizer = load_model(model_id)
     conversation = []
     if system_prompt:
         conversation.append({"role": "system", "content": system_prompt})
@@ -81,13 +81,12 @@ def generate(
         outputs.append(text)
         yield "".join(outputs)
 
-MODEL_IDS = ["Nekochu/Luminia-13B-v3", "Nekochu/Llama-2-13B-German-ORPO"]  # Add more model ids as needed
 
 chat_interface = gr.ChatInterface(
     fn=generate,
     additional_inputs=[
-        gr.Dropdown(MODEL_IDS, label="Model ID"),  # Add this line
         gr.Textbox(label="System prompt", lines=6),
+        gr.Textbox(label="Model ID", default="Nekochu/Luminia-13B-v3"),
         gr.Slider(
             label="Max new tokens",
             minimum=1,
@@ -138,4 +137,4 @@ with gr.Blocks(css="style.css") as demo:
     gr.Markdown(LICENSE)
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
+    demo.queue(max_size=20).launch()