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Web app for a therapist chatbot. Using a custom fine-tuned local flan-t5 model for summarisation and ChatGPT3.5 for chat.

Jupyter Notebook 89.33% Python 10.67%
ai chatgpt-api fine-tuning flan-t5 python pytorch streamlit webapp

therapyai's Introduction

TherapyAI

This is a project for the course "Machine learning using Colab"

Project description

This is a collection of notebooks that were used to fine-tune a FLAN-T5 model to better suit summarization tasks. Then the final model was used in a web app TherapyAI as a conversation summarizer. It will help by reducing the number of tokens used per call and information recall. The chat interface is built using Streamlit. The chat model is OpenAI's GPT-3.5B turbo. The summarization model is a fine-tuned T5 model running locally on the server.

More to come soon...

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