Update app.py

app.py

@@ -16,6 +16,22 @@ from utills import load_txt_documents, split_docs, load_uploaded_documents, retr
 from langchain.text_splitter import TokenTextSplitter, RecursiveCharacterTextSplitter
 from langchain_community.document_loaders.directory import DirectoryLoader
 
+
+def get_vectorstore(text_chunks):
+    model_name = "sentence-transformers/all-mpnet-base-v2"
+    model_kwargs = {'device': 'cpu'}
+    encode_kwargs = {'normalize_embeddings': True}
+    embeddings = HuggingFaceEmbeddings(
+        model_name=model_name,
+        model_kwargs=model_kwargs,
+        encode_kwargs=encode_kwargs
+    )
+    vectorstore = Chroma.from_documents(
+        documents=text_chunks, embedding=embeddings, persist_directory="docs/chroma/")
+    return vectorstore    
+
+
+
 data_path = "data"
 
 
@@ -130,18 +146,7 @@ def create_conversational_rag_chain(vectorstore):
     return conversation_chain
 
 
-def get_vectorstore(text_chunks):
-    model_name = "sentence-transformers/all-mpnet-base-v2"
-    model_kwargs = {'device': 'cpu'}
-    encode_kwargs = {'normalize_embeddings': True}
-    embeddings = HuggingFaceEmbeddings(
-        model_name=model_name,
-        model_kwargs=model_kwargs,
-        encode_kwargs=encode_kwargs
-    )
-    vectorstore = Chroma.from_documents(
-        documents=text_chunks, embedding=embeddings, persist_directory="docs/chroma/")
-    return vectorstore     
+ 
 
 if __name__ == "__main__":
     main()