Update app.py

app.py

@@ -88,24 +88,10 @@ chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever
 
 # Function for conversational chat
 def conversational_chat(query):
-    # result = None
-    # similarity_score = 0
-    # # Set a threshold for similarity (you can adjust this)
-    # similarity_threshold = 0.8
-    # while similarity_score <= similarity_threshold:
-    #     result = chain({"question": query, "chat_history": st.session_state['history']})
-    #     doc = nlp(result["answer"])
-    
-    #     # Define the Japanese phrase to match
-    #     target_phrase = query  # Replace with your desired Japanese phrase
-    
-    #     # Check for similarity
-    #     similarity_score = doc.similarity(nlp(target_phrase))
     result = chain({"question": query, "chat_history": st.session_state['history']})
-    st.session_state['history'].append((query, result["answer"]))   
+    st.session_state['history'].append((query, result["answer"]))
     return result["answer"]
-        
-        
+
 # Initialize chat history
 if 'history' not in st.session_state:
     st.session_state['history'] = []
@@ -113,7 +99,6 @@ if 'history' not in st.session_state:
 # Initialize messages
 if 'generated' not in st.session_state:
     st.session_state['generated'] = ["こんにちは！zendo美女です。何かお探しですか？... 🤗"]
-
 if 'past' not in st.session_state:
     st.session_state['past'] = ["チャットはここから"]
 
@@ -138,5 +123,5 @@ if st.session_state['generated']:
         for i in range(len(st.session_state['generated'])):
             message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="big-smile")
             message(st.session_state["generated"][i], key=str(i), avatar_style="thumbs")
-        # Add a scrollbar to the chat history
- 
+            
+