Update app.py

app.py

@@ -1,22 +1,11 @@
-import gradio as gr
-import torch
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-
-model_name = "anasmkh/customized_llama3.1_8b"
-
-from transformers import AutoModel
-model = AutoModel.from_pretrained("anasmkh/customized_llama3.1_8b",torch_dtype=torch.float16)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-# model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
-
-generator = pipeline(
-    "text-generation",
-    model=model,
-    tokenizer=tokenizer,
-    max_new_tokens=64,
-    temperature=1.5,
-    min_p=0.1,
-)
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 def chat(message, history):
     history = history or []