Update app.py

app.py

@@ -24,7 +24,7 @@ llm = HuggingFaceEndpoint(repo_id="mistralai/Mistral-7B-Instruct-v0.2", Temperat
 #llm = VertexAI(model_name="text-bison@001",max_output_tokens=256,temperature=0.1,top_p=0.8,top_k=40,verbose=True,)
     
 #embeddings = VertexAIEmbeddings()
-embeddings = model.encode(sentences)
+#embeddings = model.encode(sentences)
 
 #The below code scrapes all the text data from the webpage link provided by the user and saves it in a text file.
 def get_text(url):
@@ -51,7 +51,7 @@ def create_langchain_index(input_text):
     loader = TextLoader("text\\temp.txt", encoding='utf-8')
     # data = loader.load()
 
-    index = VectorstoreIndexCreator(vectorstore_cls=DocArrayInMemorySearch,embedding=embeddings).from_loaders([loader])
+    index = VectorstoreIndexCreator(vectorstore_cls=DocArrayInMemorySearch,embedding=model.encode(input_text)).from_loaders([loader])
     return index
 
 # @st.cache_resource