Update app.py

app.py

@@ -2,16 +2,6 @@ import os
 from groq import Groq 
 import gradio as gr
 from transformers import AutoModel, AutoConfig
-
-hf_token = os.environ.get("HF_TOKEN")
-
-model_repo = "HusseinEid/lora_model"
-config_file = "config.json"
-
-# Load the configuration directly from the repository
-config = AutoConfig.from_pretrained(model_repo, config_file_name=config_file, token=hf_token)
-# Load the model from Hugging Face using the config
-model = AutoModel.from_pretrained(model_repo, config=config, token=hf_token)
     
 client = Groq(api_key = os.environ.get("GROQ_API_KEY"), )
 
@@ -35,7 +25,7 @@ async def chat_groq(message, history):
     response_content = ''
     
     stream = client. chat.completions.create(
-                                            model=model,
+                                            model="llama3-8b-8192",
                                             messages=messages,
                                             max_tokens=1024,
                                             temperature=1.2,