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42 lines
1.8 KiB
Python
42 lines
1.8 KiB
Python
import os
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from gpt4all import GPT4All
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from ._models import models
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class LocalProvider:
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@staticmethod
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def create_completion(model, messages, stream, **kwargs):
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if model not in models:
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raise ValueError(f"Model '{model}' not found / not yet implemented")
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model = models[model]
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model_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'models/')
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full_model_path = os.path.join(model_dir, model['path'])
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if not os.path.isfile(full_model_path):
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print(f"Model file '{full_model_path}' not found.")
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download = input(f'Do you want to download {model["path"]} ? [y/n]')
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if download in ['y', 'Y']:
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GPT4All.download_model(model['path'], model_dir)
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else:
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raise ValueError(f"Model '{model['path']}' not found.")
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model = GPT4All(model_name=model['path'],
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#n_threads=8,
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verbose=False,
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allow_download=False,
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model_path=model_dir)
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system_template = next((message['content'] for message in messages if message['role'] == 'system'),
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'A chat between a curious user and an artificial intelligence assistant.')
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prompt_template = 'USER: {0}\nASSISTANT: '
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conversation = '\n'.join(f"{msg['role'].upper()}: {msg['content']}" for msg in messages) + "\nASSISTANT: "
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with model.chat_session(system_template, prompt_template):
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if stream:
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for token in model.generate(conversation, streaming=True):
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yield token
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else:
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yield model.generate(conversation) |