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The social interaction cloud has many components available for you to speed up creating social interactions with the robot’s.

Service

Command

Source

Dialogflow for creating conversational agents using google’s framework. This provides a flow chart like dialog management and speech recognition.

run-dialogflow

dialogflow

Face detection using OpenCV’s cascading classifier, which is very fast and can run on a laptop CPU

run-face-detection

face_detection

DNN Face detection using a YOLOv7 neural network for accurate detection, and detection of small faces.

run-face-detection-dnn

face_detection_dnn

DNN Face recognition using a resnet50 network to extract face embeddings and assign an id based on automatic clustering.

run-face-recognition --model xxx.pt --cascadefile xxx.xml

face_recognition_dnn

OpenAI ChatGPT a text based large language model that provides a very capable dialog agent. Requires a credit card.

gpt

OpenAI Whisper a powerful speech to text model, capable of running both local and in the cloud. Cloud usage requires a credit card. Start and end recognition is performed using python’s https://pypi.org/project/SpeechRecognition/

whisper_speech_to_text

Google Text to speech using google cloud API. Requires a credit card.

text2speech

Templates for creating your own components

templates

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