Update app.py

app.py

@@ -16,7 +16,6 @@ DB_FAISS_PATH = 'vectorstore/db_faiss'
 from transformers import pipeline
 
 pipe = pipeline("text-generation",model="mistralai/Mistral-7B-v0.1",model_type="llama",max_new_tokens=512,temperature=0.1 )
-llm=pipe
 
 
 
@@ -39,6 +38,7 @@ if uploaded_file:
     loader = CSVLoader(file_path=tmp_file_path, encoding="utf-8", csv_args={'delimiter': ','})
     data = loader.load()
     embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2',model_kwargs={'device': 'cpu'})
+    db = FAISS.from_documents(data, embeddings)
     db.save_local(DB_FAISS_PATH)
     llm = load_llm()
     chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever())