Update app.py

app.py

@@ -11,12 +11,6 @@ from langchain.chains import ConversationalRetrievalChain
 from htmlTemplates import css, bot_template, user_template
 from langchain.llms import HuggingFaceHub
 
-# Load environment variables from .env file
-load_dotenv()
-
-# Get Hugging Face token from environment variables
-HUGGINGFACE_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
-
 def get_pdf_text(pdf_docs):
     text = ""
     for pdf in pdf_docs:
@@ -39,14 +33,14 @@ def get_text_chunks(text):
 
 def get_vectorstore(text_chunks):
     # embeddings = OpenAIEmbeddings()
-    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl", token=os.getenv("HUGGING_FACE_TOKEN"))
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     return vectorstore
 
 
 def get_conversation_chain(vectorstore):
     # llm = ChatOpenAI()
-    llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":0.5, "max_length":512})
+    llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":0.5, "max_length":512}, token=os.getenv("HUGGING_FACE_TOKEN"))
 
     memory = ConversationBufferMemory(
         memory_key='chat_history', return_messages=True)
@@ -108,4 +102,4 @@ def main():
 
 
 if __name__ == '__main__':
-    main()
+    main()