Update app.py

app.py

@@ -15,9 +15,13 @@ from langchain_community.embeddings import HuggingFaceEmbeddings
 #from transformers import pipeline
 # Load model directly
 #from transformers import AutoModelForCausalLM
+from getpass import getpass
 
+HUGGINGFACEHUB_API_TOKEN = getpass()
 
-access_token = os.getenv("HUGGINGFACE_API_KEY")
+
+os.environ["HUGGINGFACEHUB_API_TOKEN"] = HUGGINGFACEHUB_API_TOKEN
+#access_token = os.getenv("HUGGINGFACE_API_KEY")
 
 
 
@@ -89,7 +93,7 @@ def get_conversational_chain(retriever):
     #repo_id = 'mistralai/Mixtral-8x7B-Instruct-v0.1'
     #repo_id= 'nvidia/Llama3-ChatQA-1.5-8B'
     repo_id= 'google/gemma-1.1-2b-it'
-    llm = HuggingFaceEndpoint(repo_id=repo_id, temperature=0.3,token = access_token)
+    llm = HuggingFaceEndpoint(repo_id=repo_id, temperature=0.3,token = HUGGINGFACEHUB_API_TOKEN)
     #tokenizer = AutoTokenizer.from_pretrained("google/gemma-1.1-2b-it")
     #llm = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it")
     #llm = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True, token=access_token)