Update app.py

app.py

@@ -3,52 +3,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 from typing import List, Tuple
 
 
-model_name = "Hawoly18/Adia_Llama3.1"
+#model_name = "Hawoly18/Adia_Llama3.1"
 
-# Vérifier si un GPU est disponible
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
-
-def respond(
-    message: str,
-    history: List[Tuple[str, str]],
-    system_message: str,
-    max_tokens: int,
-    temperature: float,
-    top_p: float,
-) -> str:
-    
-    prompt = system_message
-    for user_msg, assistant_msg in history:
-        prompt += f"\nUser: {user_msg}\nAssistant: {assistant_msg}"
-    prompt += f"\nUser: {message}\nAssistant:"
-
-    
-    inputs = tokenizer(prompt, return_tensors="pt")
-    outputs = model.generate(
-        **inputs,
-        max_length=max_tokens,
-        temperature=temperature,
-        top_p=top_p,
-        do_sample=True,
-    )
-    response = tokenizer.decode(outputs[0], skip_special_tokens=True).split("Assistant:")[-1].strip()
-    return response
-
-
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),  # Fixed syntax error
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-    ],
-    title="Chatbot Interface"
-)
-
-if __name__ == "__main__":
-    demo.launch()
+gr.load("Hawoly18/Adia_Llama3.1").launch()