* Modular architecture clearly separates Gradio UI from specialized NLP pipelines like NER and Llama-3 fine-tuning. * The specialized LLM stack employs Llama-3, SFT training, and 4-bit quantization for efficient TV dialogue generation. * Named Entity Recognition simplifies character mapping by strictly extracting the first name, risking accuracy in network analysis. * Refactor the aggressive, automatic model training logic out of the `CharacterChatBot` class initialization method. * Immediate security risk mitigation is mandatory, particularly around environment tokens and dependency vulnerabilities.
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