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Alexa Amundson
855585cb0e
Synced from BlackRoad-OS-Inc/blackroad-operator/orgs/personal/lucidia BlackRoad OS — Pave Tomorrow. RoadChain-SHA2048: fe729062952871e7 RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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@dataclass
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class Emotion:
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"""
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Represents a simple emotional state.
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Attributes
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----------
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valence : float
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Emotional valence between -1 (negative) and 1 (positive).
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arousal : float
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Emotional arousal level between 0 (calm) and 1 (excited).
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"""
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valence: float
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arousal: float
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class EmpathyEngine:
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"""
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Adjusts responses based on the user's emotional state.
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"""
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def respond(self, message: str, emotion: Emotion) -> str:
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"""
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Prepend a response prefix derived from the emotion.
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Parameters
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----------
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message : str
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The core message to deliver.
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emotion : Emotion
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The user's emotional state.
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Returns
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-------
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str
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A response tuned by emotion.
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"""
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if emotion.valence < -0.3:
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prefix = "I'm sorry to hear that. "
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elif emotion.valence > 0.3:
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prefix = "That's great! "
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else:
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prefix = "I see. "
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return prefix + message
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if __name__ == "__main__":
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engine = EmpathyEngine()
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sad = Emotion(-0.6, 0.7)
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happy = Emotion(0.8, 0.4)
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neutral = Emotion(0.0, 0.2)
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print(engine.respond("How can I assist you?", sad))
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print(engine.respond("Congratulations on your progress!", happy))
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print(engine.respond("Let's continue.", neutral))
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