Update app.py

app.py

@@ -33,6 +33,7 @@ def get_text_chunk(text):
     return chunks
 
 #embedding using openAI embedding. Warn: This will cost you money
+
 def get_vectorstore_openAI(text_chunks):
     embeddings = OpenAIEmbeddings()
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
@@ -46,7 +47,8 @@ def get_vectorstore(text_chunks):
     return vectorstore
 
 def get_conversation_chain(vectorstore):
-    llm = ChatOpenAI()
+    # llm = ChatOpenAI()
+    llm = 
     memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)
     conversation_chain = ConversationalRetrievalChain.from_llm(
         llm=llm,
@@ -68,8 +70,8 @@ def handle_userinput(user_question):
 def main():
     ##############################################################################
     #load openai api_key from .evn
-    load_dotenv()
-    #openai.api_key = os.getenv("OPENAI_API_KEY")
+    # load_dotenv()
+    openai.api_key = os.getenv("OPENAI_API_KEY")
     
     ##############################################################################
     #set up basic page
@@ -105,7 +107,7 @@ def main():
                 print('text_chunks are generated')
 
                 #create vector store
-                vectorstore = get_vectorstore(text_chunks)
+                vectorstore = get_vectorstore_openAI(text_chunks)
                 print('vectorstore is created')
 
                 #create converstion chain