egutierrez
aef8791151
- Added Appshell component with responsive navbar and main content area - Integrated ColorSchemeToggle for light/dark mode switching - Created Welcome component with styled title and introductory text - Developed ChatPage for LLM interaction with WebSocket support - Implemented Biblioteca for managing notes with rich text editor - Added LoginPage for user authentication with error handling - Introduced MessageList and MessageBubble components for chat messages - Styled components with CSS modules for consistent design
31 lines
940 B
Python
31 lines
940 B
Python
from abc import ABC, abstractmethod
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class ModeloABC(ABC):
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"""
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Clase base para definir la interfaz de un modelo conversacional.
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"""
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def __init__(
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self,
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model: str,
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temperature: float = 0.7,
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top_p: float = 1.0,
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top_k: int = None,
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frecuencia_penalizacion: float = 0.0,
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num_tokens_maximos: int = 512
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):
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self.model = model
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self.temperature = temperature
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self.top_p = top_p
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self.top_k = top_k
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self.frecuencia_penalizacion = frecuencia_penalizacion
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self.num_tokens_maximos = num_tokens_maximos
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@abstractmethod
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async def responder(self, prompt: str, system_prompt: str = "", stream: bool = False, **kwargs) -> str:
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"""
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Devuelve una respuesta a partir de un prompt y configuración del modelo.
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Este método debe implementarse de forma asíncrona en las subclases.
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"""
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pass
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