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Update AI Chat Bot Dashboard.py
Browse files- AI Chat Bot Dashboard.py +22 -18
AI Chat Bot Dashboard.py
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import streamlit as st
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st.title("AI Chat Bot Dashboard")
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st.header('Interactive Chatbot')
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st.
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st.
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easier to develop and deploy and are suitable for scenarios where the interaction is brief and to the point.''')
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import streamlit as st
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st.title("AI Chat Bot Dashboard")
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st.header('Interactive Chatbot')
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st.subheader('With Memory')
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st.write('''An interactive chatbot is designed to engage in dynamic, back-and-forth conversations with users.
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These chatbots can understand and retain context from previous interactions, making their responses more
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relevant and coherent as the conversation progresses. Interactive chatbots often use advanced natural language
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processing (NLP) techniques and memory management to provide a more human-like experience. They are commonly used
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in applications where ongoing interaction and context awareness are crucial, such as customer support, virtual
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assistants, and personalized recommendations.''')
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st.header('Non-Interactive Chatbot')
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st.subheader('Without Memory')
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st.write('''A non-interactive chatbot, on the other hand, is designed for more straightforward, single-turn interactions.
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These chatbots do not retain context from previous interactions, meaning each user query is treated independently.
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Non-interactive chatbots are typically used for simple, transactional tasks where context is not required. They are
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easier to develop and deploy and are suitable for scenarios where the interaction is brief and to the point.''')
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