Update app.py

app.py

@@ -11,8 +11,8 @@ load_dotenv()
 
 # Configure the Llama index settings
 Settings.llm = HuggingFaceInferenceAPI(
-    model_name="meta-llama/Meta-Llama-3.1-8B-Instruct",
-    tokenizer_name="meta-llama/Meta-Llama-3.1-8B-Instruct",
+    model_name="meta-llama/Meta-Llama-3-8B-Instruct",
+    tokenizer_name="meta-llama/Meta-Llama-3-8B-Instruct",
     context_window=3000,
     token=os.getenv("HF_TOKEN"),
     max_new_tokens=512,
@@ -33,7 +33,7 @@ os.makedirs(PERSIST_DIR, exist_ok=True)
 # Variable to store current chat conversation
 current_chat_history = []
 
-@spaces.GPU
+
 def data_ingestion_from_directory():
     # Use SimpleDirectoryReader on the directory containing the PDF files
     documents = SimpleDirectoryReader(PDF_DIRECTORY).load_data()
@@ -114,7 +114,7 @@ output_component = gr.Textbox()
 def chatbot_handler(query):
     response = handle_query(query)
     return response
-
+@spaces.GPU
 # Create the Gradio interface
 interface = gr.Interface(
     fn=chatbot_handler,