binqiangliu commited on
Commit
6cd9533
·
1 Parent(s): 0bd865d

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -1
app.py CHANGED
@@ -164,7 +164,7 @@ with st.sidebar:
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  st.image(wechat_image)
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  st.subheader("Enjoy Chatting!")
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  st.sidebar.markdown('<span class="blue-underline">Life Enhancing with AI.</span>', unsafe_allow_html=True)
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- if st.button('Get AI Response'):
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  try:
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  with st.spinner("Preparing website materials for you..."):
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  st.session_state.url_loader = WebBaseLoader(url)
@@ -178,6 +178,7 @@ with st.sidebar:
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  st.session_state.initial_embeddings=get_embeddings(st.session_state.texts)
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  st.session_state.db_embeddings = torch.FloatTensor(st.session_state.initial_embeddings)
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  print("DB Embeddings Ready.")
 
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  except Exception as e:
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  st.write("Unknow error.")
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  print("Please enter a valide URL.")
@@ -185,6 +186,8 @@ with st.sidebar:
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  if user_question !="" and not user_question.strip().isspace() and not user_question == "" and not user_question.strip() == "" and not user_question.isspace():
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  with st.spinner("AI Thinking...Please wait a while to Cheers!"):
 
 
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  q_embedding=get_embeddings(user_question)
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  final_q_embedding = torch.FloatTensor(q_embedding)
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  print("Question Embeddings Ready.")
 
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  st.image(wechat_image)
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  st.subheader("Enjoy Chatting!")
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  st.sidebar.markdown('<span class="blue-underline">Life Enhancing with AI.</span>', unsafe_allow_html=True)
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+ if st.button('Proceed to AI Chat'):
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  try:
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  with st.spinner("Preparing website materials for you..."):
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  st.session_state.url_loader = WebBaseLoader(url)
 
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  st.session_state.initial_embeddings=get_embeddings(st.session_state.texts)
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  st.session_state.db_embeddings = torch.FloatTensor(st.session_state.initial_embeddings)
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  print("DB Embeddings Ready.")
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+ st.write("AI Chat now is ready.")
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  except Exception as e:
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  st.write("Unknow error.")
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  print("Please enter a valide URL.")
 
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  if user_question !="" and not user_question.strip().isspace() and not user_question == "" and not user_question.strip() == "" and not user_question.isspace():
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  with st.spinner("AI Thinking...Please wait a while to Cheers!"):
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+ print("User question: "+user_question)
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+ print("Question Embedding Begines.")
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  q_embedding=get_embeddings(user_question)
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  final_q_embedding = torch.FloatTensor(q_embedding)
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  print("Question Embeddings Ready.")