issue fixed

app.py

@@ -15,7 +15,6 @@ from utils import get_qa_chain
 load_dotenv()
 
 openai.api_key = os.environ['OPENAI_API_KEY']
-Path('docs').mkdir(parents=True, exist_ok=True)
 
 if 'messages' not in st.session_state:
     st.session_state.messages = []
@@ -38,7 +37,7 @@ def set_status():
 def process_uploaded_file(uploaded_file):
     if 'context' not in st.session_state:
         logger.info(f'file uploaded {uploaded_file}')
-        upath = f'uploads/{uploaded_file.name}'
+        upath = f'docs/{uploaded_file.name}'
         logger.info(f'file saved to {upath}')
 
         with open(upath, 'wb') as hndl:

config.py

@@ -1,9 +1,12 @@
 from pathlib import Path
-Path('docs').mkdir(parents=True, exist_ok=True)
+
 
 class Config:
-	chunk_size = 1000
-	chunk_overlap = 50
-	vectordb_persist_directory = 'docs/chroma'
-	vectorstore_path = 'docs/vectorstore.pkl'
-	chatgpt_model_name = 'gpt-3.5-turbo'
+    chunk_size = 1000
+    chunk_overlap = 100
+    vectorstore_dir = 'docs'
+    vectorstore_path = f'{vectorstore_dir}/vectorstore.pkl'
+    chatgpt_model_name = 'gpt-3.5-turbo'
+
+
+Path(Config.vectorstore_dir).unlink(missing_ok=True)

utils.py

@@ -43,8 +43,8 @@ def create_vectordb(file_path):
 
     print('Splitting text...')
     text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=1000,
-        chunk_overlap=100,
+        chunk_size=Config.chunk_size,
+        chunk_overlap=Config.chunk_overlap,
         length_function=len,
     )
     documents = text_splitter.split_documents(raw_documents)