added HF_TOKEN

app.py

@@ -1,8 +1,10 @@
+import os
 import gradio as gr
 from transformers import pipeline
 
+token = os.environ.get('HF_TOKEN')
 # Use a pipeline as a high-level helper
-pipe = pipeline("text-generation", model="meta-llama/Llama-2-7b-chat-hf")
+pipe = pipeline("text-generation", model="meta-llama/Llama-2-7b-chat-hf", token=token)
 
 def llama_chat(name):
     resp = pipe(name)

requirements.txt

@@ -1,2 +1,2 @@
 gradio
-transformers
+transformers