pip transformers (#2)

- Use pip transformers (7c674db0c4f4080e02020f11655676ffa0a64275)
- Link to HuggingChat (cbebd6853721508f268209787c8266b6eae768a7)

app.py

@@ -1,15 +1,7 @@
 import os
-import shlex
-import subprocess
 from threading import Thread
 from typing import Iterator
 
-from huggingface_hub import hf_hub_download
-
-whl_path = hf_hub_download("google/gemma-2-9b-it", "transformers/transformers-4.42.0.dev0-py3-none-any.whl")
-subprocess.run(shlex.split(f"pip install {whl_path}"))
-
-
 import gradio as gr
 import spaces
 import torch
@@ -26,6 +18,8 @@ DESCRIPTION = """\
 Gemma 2 is Google's latest iteration of open LLMs.
 This is a demo of [`google/gemma-2-9b-it`](https://huggingface.co/google/gemma-2-9b-it), fine-tuned for instruction following.
 For more details, please check [our post](https://huggingface.co/blog/gemma2).
+
+👉 Looking for a larger and more powerful version? Try the 27B version in [HuggingChat](https://huggingface.co/chat/models/google/gemma-2-27b-it).
 """
 
 MAX_MAX_NEW_TOKENS = 2048

requirements.txt

@@ -3,4 +3,4 @@ bitsandbytes==0.43.1
 gradio==4.37.1
 spaces==0.28.3
 torch==2.2.0
-#transformers==4.42.0
+transformers==4.42.0