This template illustrates a custom-based approach for building a contextual chatbot using NLP operations, TensorFlow, and Gradio UI. The workflow begins with processing pressure data through tokenization and stemming, resulting in cleaned data. TensorFlow is then used for training the chatbot, leveraging TfLearn for contextual responses. Finally, the chatbot interacts with users via Gradio UI, delivering responses efficiently. Perfect for developers designing advanced chatbots with natural language processing and machine learning integration.
