Update app.py

app.py

@@ -1,52 +1,4 @@
 # -*- coding: utf-8 -*-
-import os
-import contextlib
-        
-@contextlib.contextmanager
-def new_cd(x):
-    d = os.getcwd()
-
-    # This could raise an exception, but it's probably
-    # best to let it propagate and let the caller
-    # deal with it, since they requested x
-    os.chdir(x)
-
-    try:
-        yield
-
-    finally:
-        # This could also raise an exception, but you *really*
-        # aren't equipped to figure out what went wrong if the
-        # old working directory can't be restored.
-        os.chdir(d)
-from ipex_llm.transformers import AutoModelForCausalLM
-from transformers import LlamaTokenizer
-
-
-llm = AutoModelForCausalLM.from_pretrained("checkpoints\\Llama-2-7b-chat-hf",load_in_low_bit="sym_int4")
-llm.save_low_bit("checkpoints\\Llama-2-7b-chat-hf-INT4")
-
-tokenizer = LlamaTokenizer.from_pretrained("checkpoints\\Llama-2-7b-chat-hf\\")
-tokenizer.save_pretrained("checkpoints\\Llama-2-7b-chat-hf-INT4")
-from huggingface_hub import snapshot_download
-
-# Clip
-snapshot_download(repo_id='openai/clip-vit-base-patch32',
-                  local_dir="./checkpoints/clip-vit-base-patch32")
-
-# LLM
-snapshot_download(repo_id='meta-llama/Llama-2-7b-chat-hf',
-                  local_dir="./checkpoints/Llama-2-7b-chat-hf", token=hf_token)
-
-# Translation
-snapshot_download(repo_id='Helsinki-NLP/opus-mt-en-zh',
-                  local_dir="./checkpoints/Helsinki-NLP-opus-mt-en-zh")
-snapshot_download(repo_id='Helsinki-NLP/opus-mt-zh-en',
-                  local_dir="./checkpoints/Helsinki-NLP-opus-mt-zh-en")
-
-# Embeddings
-snapshot_download(repo_id='sentence-transformers/all-MiniLM-L12-v2',
-                  local_dir="./checkpoints/all-MiniLM-L12-v2")
 import argparse
 import gradio as gr
 import os