Update app.py

app.py

@@ -36,20 +36,20 @@ static_file_paths = [
 device = torch.device("cuda" if torch.cuda.is_available() else "CPU")
 
 # Load documents
-loaders = [PyPDFLoader(x) for x in static_file_paths]
-pages = []
-for loader in loaders:
-    pages.extend(loader.load())
-text_splitter = RecursiveCharacterTextSplitter(
-    chunk_size=600,
-    chunk_overlap=40,
-)
-doc_splits = text_splitter.split_documents(pages)
-embedding = HuggingFaceEmbeddings()
-vectordb = Chroma.from_documents(
-    documents=doc_splits,
-    embedding=embedding,
-)
+#loaders = [PyPDFLoader(x) for x in static_file_paths]
+#pages = []
+#for loader in loaders:
+#    pages.extend(loader.load())
+#text_splitter = RecursiveCharacterTextSplitter(
+#    chunk_size=600,
+#    chunk_overlap=40,
+#)
+#doc_splits = text_splitter.split_documents(pages)
+#embedding = HuggingFaceEmbeddings()
+#vectordb = Chroma.from_documents(
+#    documents=doc_splits,
+#    embedding=embedding,
+#)
 
 # Load model
 tokenizer = AutoTokenizer.from_pretrained(llm_name, token=os.environ['HUGGINGFACEHUB_API_TOKEN'],)