Update.app.py

app.py

@@ -36,15 +36,15 @@ def get_text_chunk(row_text):
 
 
 def get_vectorstore(text_chunk):
-    embeddings = OpenAIEmbeddings(openai_api_key = os.getenv("OPENAI_API_KEY"))
-    # embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
+    #embeddings = OpenAIEmbeddings(openai_api_key = os.getenv("OPENAI_API_KEY"))
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
     vector = FAISS.from_texts(text_chunk,embeddings)
     return vector
 
 
 def get_conversation_chain(vectorstores):
-    llm = ChatOpenAI(openai_api_key = os.getenv("OPENAI_API_KEY"))
-    # llm = HuggingFaceHub(repo_id="google/flan-t5-base", model_kwargs={"temperature":0.5, "max_length":512})
+    #llm = ChatOpenAI(openai_api_key = os.getenv("OPENAI_API_KEY"))
+    llm = HuggingFaceHub(repo_id="google/flan-t5-base", model_kwargs={"temperature":0.5, "max_length":512})
     memory = ConversationBufferMemory(memory_key = "chat_history",return_messages = True)
     conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm,
                                                                retriever=vectorstores.as_retriever(),