Create perspective.py

perspective.py

@@ -0,0 +1,78 @@
+class NewtonPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Newtonian Analysis] Considering motion, force, and mass in '{question}'."
+
+
+class DaVinciPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[DaVinci Insight] Artistic logic and humanistic reflection on '{question}'."
+
+
+class HumanIntuitionPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Human Intuition] Emotional and instinctive take: '{question}'."
+
+
+class NeuralNetworkPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Neural Model] Pattern-matching response: '{question}'."
+
+
+class QuantumComputingPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Quantum View] Superpositional analysis of '{question}'."
+
+
+class ResilientKindnessPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Kindness Filter] Response shaped with empathy and resilience: '{question}'."
+
+
+class MathematicalPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Mathematical Perspective] Modeling '{question}' in abstract structure."
+
+
+class PhilosophicalPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Philosopher's Lens] Reflecting on essence and consequence of '{question}'."
+
+
+class CopilotPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Copilot Logic] Practical co-processing of '{question}' initiated."
+
+
+class BiasMitigationPerspective:
+    def __init__(self, config):
+        self.config = config
+
+    def generate_response(self, question):
+        return f"[Bias Audit] Ensuring fairness and objectivity in: '{question}'."