Update app.py

app.py

@@ -45,15 +45,15 @@ def create_retriever_from_chroma(vectorstore_path="docs/chroma/", search_type='m
 
     
     # Check if vectorstore exists
-    if os.path.exists(vectorstore_path) and os.listdir(vectorstore_path):
-        # Load the existing vectorstore
-        vectorstore = Chroma(persist_directory=vectorstore_path,embedding_function=embeddings)
-    else:
+    #if os.path.exists(vectorstore_path) and os.listdir(vectorstore_path):
+     #   # Load the existing vectorstore
+      #  vectorstore = Chroma(persist_directory=vectorstore_path,embedding_function=embeddings)
+    #else:
         # Load documents from the specified data path
-        loader = DirectoryLoader('./data/', glob="./*.txt", loader_cls=TextLoader)
-        docs = loader.load()
-        text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)
-        split_docs = text_splitter.split_documents(docs)
+    loader = DirectoryLoader('./data/', glob="./*.txt", loader_cls=TextLoader)
+    docs = loader.load()
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)
+    split_docs = text_splitter.split_documents(docs)
 
         
 
@@ -133,7 +133,7 @@ def handle_userinput(user_question,retriever):
 
 def create_conversational_rag_chain(retriever):
     
-    model_path = ('qwen2-0_5b-instruct-q4_0.gguf')
+    
 
     callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])