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Update app.py
Browse files
app.py
CHANGED
@@ -306,7 +306,7 @@ def page1():
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# Start timing
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start_time = time.time()
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with st.spinner('
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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@@ -320,9 +320,10 @@ def page1():
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# Calculate duration
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duration = end_time - start_time
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st.
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# Combine chat histories from all pages
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all_chat_histories = [
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@@ -428,7 +429,7 @@ def page2():
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# Start timing
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start_time = time.time()
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with st.spinner('
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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@@ -442,9 +443,9 @@ def page2():
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# Calculate duration
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duration = end_time - start_time
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st.text(f"Response time: {duration:.2f} seconds")
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st.session_state['chat_history_page2'].append(("
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# Combine chat histories from all pages
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@@ -547,7 +548,7 @@ def page3():
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# Start timing
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start_time = time.time()
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-
with st.spinner('
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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@@ -561,9 +562,9 @@ def page3():
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# Calculate duration
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duration = end_time - start_time
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st.text(f"Response time: {duration:.2f} seconds")
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st.session_state['chat_history_page3'].append(("
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# Combine chat histories from all pages
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all_chat_histories = [
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# Start timing
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start_time = time.time()
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with st.spinner('Eve is thinking...'):
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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# Calculate duration
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duration = end_time - start_time
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st.session_state['chat_history_page1'].append(("Eve", response, "new"))
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st.text(f"Response time: {duration:.2f} seconds")
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# Combine chat histories from all pages
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all_chat_histories = [
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# Start timing
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start_time = time.time()
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with st.spinner('Eve is thinking...'):
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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# Calculate duration
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duration = end_time - start_time
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st.session_state['chat_history_page2'].append(("Eve", response, "new"))
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st.text(f"Response time: {duration:.2f} seconds")
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# Combine chat histories from all pages
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# Start timing
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start_time = time.time()
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with st.spinner('Eve is thinking...'):
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chain = load_chatbot()
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docs = VectorStore.similarity_search(query=query, k=5)
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with get_openai_callback() as cb:
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# Calculate duration
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duration = end_time - start_time
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st.session_state['chat_history_page3'].append(("Eve", response, "new"))
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st.text(f"Response time: {duration:.2f} seconds")
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# Combine chat histories from all pages
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all_chat_histories = [
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