Iyeoluwa Akinrinola
96 lines
2.8 KiB
Python
96 lines
2.8 KiB
Python
"""
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Service for model management and interaction.
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"""
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from typing import List, Dict, Any, Optional
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from app.config.config import Config
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class ModelService:
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"""Service for model management and interaction."""
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# Available models
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AVAILABLE_MODELS = {
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'gpt-3.5-turbo': {
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'name': 'GPT-3.5 Turbo',
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'description': 'OpenAI GPT-3.5 Turbo model',
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'provider': 'openai',
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'max_tokens': 4096
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},
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'gpt-4': {
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'name': 'GPT-4',
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'description': 'OpenAI GPT-4 model',
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'provider': 'openai',
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'max_tokens': 8192
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},
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# Add more models as needed
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}
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def __init__(self, config: Config = None):
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"""
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Initialize the model service.
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Args:
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config: Configuration object.
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"""
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self.config = config or Config()
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self.default_model = self.config.DEFAULT_MODEL
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def get_available_models(self) -> List[Dict[str, Any]]:
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"""
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Get a list of available models.
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Returns:
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List of model information dictionaries.
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"""
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models = []
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for model_id, model_info in self.AVAILABLE_MODELS.items():
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model_data = {
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'id': model_id,
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'is_default': model_id == self.default_model,
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**model_info
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}
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models.append(model_data)
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return models
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def get_model_info(self, model_id: str) -> Optional[Dict[str, Any]]:
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"""
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Get information about a specific model.
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Args:
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model_id: ID of the model.
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Returns:
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Model information dictionary if found, None otherwise.
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"""
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if model_id not in self.AVAILABLE_MODELS:
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return None
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return {
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'id': model_id,
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'is_default': model_id == self.default_model,
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**self.AVAILABLE_MODELS[model_id]
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}
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def generate_response(self, model_id: str, prompt: str,
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context: Optional[List[Dict[str, str]]] = None) -> str:
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"""
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Generate a response from the model.
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Args:
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model_id: ID of the model to use.
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prompt: User prompt.
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context: Optional conversation context.
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Returns:
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Generated response.
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"""
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# TODO: Implement actual model integration
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# This is a placeholder that will be implemented in the next steps
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if model_id not in self.AVAILABLE_MODELS:
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model_id = self.default_model
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# Placeholder response
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return f"This is a placeholder response from {self.AVAILABLE_MODELS[model_id]['name']}. The actual model integration will be implemented in the next steps."
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