Psypher is a chatbot designed to provide emotional support and mental health information through conversations. It uses a combination of Natural Language Processing (NLP) and machine learning to understand user input and respond with empathy, helpful advice, and relevant facts.
Psypher learns from a structured JSON file (intents.json) containing various conversational patterns (user inputs) tagged with their corresponding intent (e.g., 'greeting', 'sad', 'stressed', 'fact-1', 'fact-2' etc.). The intents are then paired with suitable responses that the chatbot can use.
User input is cleaned and converted into a format that the machine learning model can understand. The Keras Tokenizer converts words into numerical sequences, and padding ensures that all inputs are of the same length.
Psypher employs a deep learning model using Long Short-Term Memory (LSTM) networks. LSTMs are well-suited for understanding context and dependencies in text. The model is trained to predict the intent behind the user's message based on the input sequences.
Once the intent is identified, the chatbot selects a relevant response from the JSON file. The generate_answer function handles this response generation process.
Emotional Intelligence: Psypher is trained to recognize and respond to a wide range of emotions expressed in the user's input. Mental Health Support: The chatbot provides basic information, coping strategies, and encourages users to seek professional help when needed. Customization: The intents.json file can be easily expanded or modified to tailor the chatbot's knowledge and responses to specific needs. Accuracy: The deep learning model, combined with proper training data, achieves a high level of accuracy in intent recognition and response generation.
Run the Python script: The provided code will launch Psypher in your terminal. Start chatting: Type your messages as you would with a human. Exit: To end the conversation, type quit, exit, bye, or q. Disclaimer: Psypher is not a substitute for professional medical advice. It is meant to offer support and information, but users should always consult a healthcare provider for serious concerns.
Integration with mental health resources: Provide links to helplines, therapists, or support groups. Personalization: Tailor responses based on user history and preferences. Multi-language support: Enable communication in multiple languages. Deployment: Make the chatbot accessible through a website, messaging app, or other platforms. Let me know if you'd like any part of this description modified or expanded further!