README.md

ISM_Final_Product

Interactive Chatbot with Real-Time Emotional Analysis/Integration

Usage

• Clone this repository

• Enter the commands:

  • Make a virtual environment: python -m venv .venv

  • Activate it (for Windows command prompt): .venv\Scripts\activate

  • pip install requirements.txt -r

  • Open an OpenAI account at https://platform.openai.com/account/org-settings

  • Add a .env file to the top level directory with the following environment variables.

    OPENAI_API_KEY=xxxx
    OPENAI_ORG_NAME=xxxxx
    

  • cd src/

  • streamlit run app.py

User Stories

• A user would like to be able to start up an app and talk to a chatbot that can percieve their emotions in real-time.

Technology Stack

• Python
• Open CV for webcam image processing
• Streamlit or Gradio
• Huggingface Endpoints for emotion detecting pre-trained models
• OpenAI large language models (Chat GPT)
• Hypermodern Python Coding Standards (https://cookiecutter-hypermodern-python.readthedocs.io/en/2021.3.14/guide.html)

Inspiration Repos/Articles

• https://github.com/hwchase17/langchain
• https://github.com/omar178/Emotion-recognition
• https://github.com/gradio-app/hub-emotion-recognition
• https://github.com/joeychrys/streamlit-chatGPT/blob/master/src/main.py
• https://blog.streamlit.io/how-to-build-the-streamlit-webrtc-component/
• https://github.com/nicolalandro/yolov5_streamlit
• https://github.com/nextstep-infotech/Open-AI/blob/main/streamlit_chatGPT_clone.py
• https://blog.devgenius.io/facial-emotion-detection-using-aws-rekognition-in-python-69b2da668192
• https://github.com/codedev99/fast-face-exp
• https://github.com/sanjeevm4788/Face-emotion-detection
• https://stackoverflow.com/questions/69439390/streamlit-image-processing
• https://github.com/whitphx/streamlit-fesion
• https://github.com/whitphx/streamlit-webrtc/blob/56d715a76247cd6303c9ddade5bc2a8e430ddc2f/app.py#L344

Huggingface

• https://huggingface.co/spaces/schibsted/Facial_Recognition_with_Sentiment_Detector
• https://huggingface.co/spaces/schibsted/facial_expression_classifier/blob/main/app.py

Page Breakdown

• Main page
  • Continuous Webcam Viewport (Potentially with a start and stop button)
  • Text Input/Output textbox with a submit button

Implementation

• User Data
  • Detected Emotion
  • Prompt/Prompt History
• User Interaction
  • Buttons for camera start and stop
  • Button to submit prompt
• API Calls
  • Emotion Detection Model to get detected emotion
  • Large Language Model to get response to do something with the detected emotion

TODO

• Flip the conversation history to show most recent messages first
• Make the form input chat text clear on change.
• figure out how to continuously grab the video image to pipe into another emotion detection api
• figure out how to continuously update state with the emotion dictionary and wire it up to the chatbot prompt with the average since last updated.