Update app.py

app.py

@@ -20,7 +20,7 @@ def load_vectorstore(model):
     if 'mpnet' in model:
         
         emb = HuggingFaceEmbeddings(model_name=model)
-
+        print(emb)
         return FAISS.load_local('vanguard-embeddings', emb)
 
     elif 'instructor'in model:
@@ -28,6 +28,7 @@ def load_vectorstore(model):
         emb = HuggingFaceInstructEmbeddings(model_name=model,
                                                query_instruction='Represent the Financial question for retrieving supporting paragraphs: ',
                                                embed_instruction='Represent the Financial paragraph for retrieval: ')
+        print(emb)
         return FAISS.load_local('vanguard_embeddings_inst', emb)
 
 #default embeddings
@@ -109,10 +110,6 @@ class ChatWrapper:
 
 chat = ChatWrapper()
 
-store_state = gr.State(value=model_options_list[0])
-
-print(f'var init:{store_state}')
-
 block = gr.Blocks(css=".gradio-container {background-color: lightgray}")
 
 with block:
@@ -130,11 +127,11 @@ with block:
         embeddings = gr.Radio(choices=model_options_list,value=model_options_list[0], label='Choose your Embedding Model',
                              interactive=True)
         embeddings.change(on_value_change, embeddings)
-        
-    print(embeddings.value)
     
     vectorstore = load_vectorstore(embeddings.value)
 
+    print(vectorstore)
+
     chatbot = gr.Chatbot()
 
     with gr.Row():