fixed index

backend.py

@@ -50,39 +50,22 @@ Settings.llm  = GemmaLLMInterface(model=model, tokenizer=tokenizer)
 
 ############################---------------------------------
 
-# Initialize variables to store nodes and index
-index = None
+# Reading documents from disk
+documents = SimpleDirectoryReader(input_files=["data/blockchainprova.txt"]).load_data()
 
-@spaces.GPU(duration=90)
-def initialize_index():
-    global index
-    try:
-        # Reading documents from disk
-        documents = SimpleDirectoryReader(input_files=["data/blockchainprova.txt"]).load_data()
-
-        # Splitting the document into chunks
-        parser = SentenceSplitter.from_defaults(
+# Splitting the document into chunks
+parser = SentenceSplitter.from_defaults(
             chunk_size=256, chunk_overlap=64, paragraph_separator="\n\n"
         )
-        nodes = parser.get_nodes_from_documents(documents)
-
-        # BUILD A VECTOR STORE
-        index = VectorStoreIndex(nodes)
-        print("Index initialized successfully")
-    except Exception as e:
-        print(f"Error initializing index: {str(e)}")
-        index = None
+nodes = parser.get_nodes_from_documents(documents)
 
+# BUILD A VECTOR STORE
+index = VectorStoreIndex(nodes)
 
-initialize_index()
 
 @spaces.GPU(duration=120)
 def handle_query(query_str, chathistory):
-    global index
-    
-    if index is None:
-        yield "Error: Index not initialized. Please try again later."
-        return
+  
 
     qa_prompt_str = (
         "Context information is below.\n"