mirror of
https://github.com/Balshgit/gpt_chat_bot.git
synced 2025-09-11 22:30:41 +03:00
129 lines
3.7 KiB
Python
129 lines
3.7 KiB
Python
import uuid
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import g4f
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from g4f import ChatCompletion
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TEST_PROMPT = "Generate a sentence with 'ocean'"
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EXPECTED_RESPONSE_CONTAINS = "ocean"
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class Provider:
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def __init__(self, name, models):
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"""
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Initialize the provider with its name and models.
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"""
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self.name = name
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self.models = models if isinstance(models, list) else [models]
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def __str__(self):
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return self.name
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class ModelProviderManager:
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def __init__(self):
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"""
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Initialize the manager that manages the working (active) providers for each model.
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"""
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self._working_model_providers = {}
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def add_provider(self, model, provider_name):
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"""
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Add a provider to the working provider list of the specified model.
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"""
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if model not in self._working_model_providers:
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self._working_model_providers[model] = []
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self._working_model_providers[model].append(provider_name)
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def get_working_providers(self):
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"""
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Return the currently active providers for each model.
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"""
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return self._working_model_providers
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def _fetch_providers_having_models():
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"""
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Get providers that have models from g4f.Providers.
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"""
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model_providers = []
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for provider_name in dir(g4f.Provider):
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provider = getattr(g4f.Provider, provider_name)
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if _is_provider_applicable(provider):
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model_providers.append(Provider(provider_name, provider.model))
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return model_providers
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def _is_provider_applicable(provider):
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"""
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Check if the provider has a model and doesn't require authentication.
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"""
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return (
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hasattr(provider, "model")
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and hasattr(provider, "_create_completion")
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and hasattr(provider, "needs_auth")
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and not provider.needs_auth
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)
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def _generate_test_messages():
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"""
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Generate messages for testing.
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"""
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return [
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{"role": "system", "content": "You are a trained AI assistant."},
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{"role": "user", "content": TEST_PROMPT},
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]
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def _manage_chat_completion(manager, model_providers, test_messages):
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"""
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Generate chat completion for each provider's models and handle positive and negative results.
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"""
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for provider in model_providers:
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for model in provider.models:
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try:
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response = _generate_chat_response(provider.name, model, test_messages)
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if EXPECTED_RESPONSE_CONTAINS in response.lower():
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_print_success_response(provider, model)
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manager.add_provider(model, provider.name)
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else:
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raise Exception(f"Unexpected response: {response}")
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except Exception as error:
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_print_error_response(provider, model, error)
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def _generate_chat_response(provider_name, model, test_messages):
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"""
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Generate a chat response given a provider name, a model, and test messages.
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"""
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return ChatCompletion.create(
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model=model,
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messages=test_messages,
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chatId=str(uuid.uuid4()),
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provider=getattr(g4f.Provider, provider_name),
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)
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def _print_success_response(provider, model):
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print(f"\u2705 [{provider}] - [{model}]: Success")
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def _print_error_response(provider, model, error):
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print(f"\u26D4 [{provider}] - [{model}]: Error - {str(error)}")
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def get_active_model_providers():
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"""
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Get providers that are currently working (active).
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"""
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model_providers = _fetch_providers_having_models()
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test_messages = _generate_test_messages()
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manager = ModelProviderManager()
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_manage_chat_completion(manager, model_providers, test_messages)
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return manager.get_working_providers()
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