What are the recommended approaches in Python for deploying a machine learning model in a mental health web application? How can I integrate model deployment with Flask or Django effectively?
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I'm looking to deploy a machine learning model within mental health web application. The model is designed to assist with the diagnosis and treatment planning for conditions such as anxiety and PTSD. I've built the model using scikit-learn and TensorFlow, and I want users to interact with it through a web interface. What are the best practices for deploying such models using Python? Specifically, how can I integrate this deployment process with Flask or Django?