This project involves creating an AI chatbot that can take on different personas, keep track of conversation history, and provide coherent responses. The Chatbot is then rendered using Streamlit.
Key skills we'll practice include:
- Using the OpenAI API to interact with a large language model.
- Crafting and managing distinct chatbot personas with system messages.
- Monitoring and handling token usage to stay within a token budget.
- Maintaining a conversation history to achieve contextually aware interactions.
The Chatbot Framework is implementated as a ConversationManager class in the module conversation_manager.py while the rendering using Streamlit is implemented in chatbot_using_streamlit.py
To test the bot from your local machine run python -m streamlit run .\chatbot_using_streamlit.py from the command line.