Update app.py

app.py

@@ -13,7 +13,7 @@ corpus = df['text'][:300]
 splitter = RecursiveCharacterTextSplitter(chunk_size=200,chunk_overlap = 10)
 texts = sum([splitter.split_text(doc) for doc in corpus], [])
 # Embeddings
-embeddings = HuggingFaceEmbeddings(model_name='all-mnpnet-base-v2')
+embeddings = HuggingFaceEmbeddings(model_name='all-mpnet-base-v2')
 # Indexing
 db = FAISS.from_texts(texts,embeddings)
 retriever = db.as_retriever(search_kwargs={'k':5})