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-rw-r--r--g4f/__init__.py4
-rw-r--r--g4f/models.py258
-rw-r--r--g4f/typing.py5
3 files changed, 137 insertions, 130 deletions
diff --git a/g4f/__init__.py b/g4f/__init__.py
index 90b05c85..1e8664c1 100644
--- a/g4f/__init__.py
+++ b/g4f/__init__.py
@@ -6,6 +6,7 @@ import random
logging = False
+
class ChatCompletion:
@staticmethod
def create(
@@ -21,9 +22,8 @@ class ChatCompletion:
except KeyError:
raise Exception(f'The model: {model} does not exist')
-
if not provider:
- if isinstance(model.best_provider, tuple):
+ if isinstance(model.best_provider, list):
provider = random.choice(model.best_provider)
else:
provider = model.best_provider
diff --git a/g4f/models.py b/g4f/models.py
index e095ce7e..9253c5c9 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -1,212 +1,218 @@
from __future__ import annotations
+
from dataclasses import dataclass
-from .Provider import BaseProvider, Bard, H2o, Vercel
-from .Provider import Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin, CodeLinkAva
-from .Provider import DeepAi, Vercel, Vitalentum, Ylokh, You, Yqcloud
+
+from .Provider import (Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin, CodeLinkAva, BaseProvider, Bard, H2o, DeepAi,
+ Vercel, Vitalentum, Ylokh, You, Yqcloud)
from .typing import Union
+
@dataclass
class Model:
name: str
base_provider: str
- best_provider: Union[type[BaseProvider], tuple[type[BaseProvider]]] = None
+ best_provider: Union[type[BaseProvider], list[type[BaseProvider]]]
+
# Config for HuggingChat, OpenAssistant
# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
default = Model(
name="",
- base_provider="huggingface"
+ base_provider="huggingface",
+ best_provider=H2o,
)
# GPT-3.5 / GPT-4
gpt_35_turbo = Model(
- name = 'gpt-3.5-turbo',
- base_provider = 'openai',
- best_provider = (
+ name='gpt-3.5-turbo',
+ base_provider='openai',
+ best_provider=[
Vercel, Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin,
CodeLinkAva, DeepAi, Vitalentum, Ylokh, You, Yqcloud
- )
+ ]
)
gpt_4 = Model(
- name = 'gpt-4',
- base_provider = 'openai',
+ name='gpt-4',
+ base_provider='openai',
+ best_provider=Aivvm
)
# Bard
palm = Model(
- name = 'palm',
- base_provider = 'google',
- best_provider = Bard)
+ name='palm',
+ base_provider='google',
+ best_provider=Bard)
# H2o
falcon_7b = Model(
- name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
- base_provider = 'huggingface',
- best_provider = H2o)
+ name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
+ base_provider='huggingface',
+ best_provider=H2o)
falcon_40b = Model(
- name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
- base_provider = 'huggingface',
- best_provider = H2o)
+ name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
+ base_provider='huggingface',
+ best_provider=H2o)
llama_13b = Model(
- name = 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
- base_provider = 'huggingface',
- best_provider = H2o)
+ name='h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
+ base_provider='huggingface',
+ best_provider=H2o)
# Vercel
claude_instant_v1 = Model(
- name = 'anthropic:claude-instant-v1',
- base_provider = 'anthropic',
- best_provider = Vercel)
+ name='anthropic:claude-instant-v1',
+ base_provider='anthropic',
+ best_provider=Vercel)
claude_v1 = Model(
- name = 'anthropic:claude-v1',
- base_provider = 'anthropic',
- best_provider = Vercel)
+ name='anthropic:claude-v1',
+ base_provider='anthropic',
+ best_provider=Vercel)
claude_v2 = Model(
- name = 'anthropic:claude-v2',
- base_provider = 'anthropic',
- best_provider = Vercel)
+ name='anthropic:claude-v2',
+ base_provider='anthropic',
+ best_provider=Vercel)
command_light_nightly = Model(
- name = 'cohere:command-light-nightly',
- base_provider = 'cohere',
- best_provider = Vercel)
+ name='cohere:command-light-nightly',
+ base_provider='cohere',
+ best_provider=Vercel)
command_nightly = Model(
- name = 'cohere:command-nightly',
- base_provider = 'cohere',
- best_provider = Vercel)
+ name='cohere:command-nightly',
+ base_provider='cohere',
+ best_provider=Vercel)
gpt_neox_20b = Model(
- name = 'huggingface:EleutherAI/gpt-neox-20b',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:EleutherAI/gpt-neox-20b',
+ base_provider='huggingface',
+ best_provider=Vercel)
oasst_sft_1_pythia_12b = Model(
- name = 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
+ base_provider='huggingface',
+ best_provider=Vercel)
oasst_sft_4_pythia_12b_epoch_35 = Model(
- name = 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
+ base_provider='huggingface',
+ best_provider=Vercel)
santacoder = Model(
- name = 'huggingface:bigcode/santacoder',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:bigcode/santacoder',
+ base_provider='huggingface',
+ best_provider=Vercel)
bloom = Model(
- name = 'huggingface:bigscience/bloom',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:bigscience/bloom',
+ base_provider='huggingface',
+ best_provider=Vercel)
flan_t5_xxl = Model(
- name = 'huggingface:google/flan-t5-xxl',
- base_provider = 'huggingface',
- best_provider = Vercel)
+ name='huggingface:google/flan-t5-xxl',
+ base_provider='huggingface',
+ best_provider=Vercel)
code_davinci_002 = Model(
- name = 'openai:code-davinci-002',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:code-davinci-002',
+ base_provider='openai',
+ best_provider=Vercel)
gpt_35_turbo_16k = Model(
- name = 'openai:gpt-3.5-turbo-16k',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:gpt-3.5-turbo-16k',
+ base_provider='openai',
+ best_provider=Vercel)
gpt_35_turbo_16k_0613 = Model(
- name = 'openai:gpt-3.5-turbo-16k-0613',
- base_provider = 'openai')
+ name='openai:gpt-3.5-turbo-16k-0613',
+ base_provider='openai',
+ best_provider=Vercel)
gpt_4_0613 = Model(
- name = 'openai:gpt-4-0613',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:gpt-4-0613',
+ base_provider='openai',
+ best_provider=Vercel)
text_ada_001 = Model(
- name = 'openai:text-ada-001',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:text-ada-001',
+ base_provider='openai',
+ best_provider=Vercel)
text_babbage_001 = Model(
- name = 'openai:text-babbage-001',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:text-babbage-001',
+ base_provider='openai',
+ best_provider=Vercel)
text_curie_001 = Model(
- name = 'openai:text-curie-001',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:text-curie-001',
+ base_provider='openai',
+ best_provider=Vercel)
text_davinci_002 = Model(
- name = 'openai:text-davinci-002',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:text-davinci-002',
+ base_provider='openai',
+ best_provider=Vercel)
text_davinci_003 = Model(
- name = 'openai:text-davinci-003',
- base_provider = 'openai',
- best_provider = Vercel)
+ name='openai:text-davinci-003',
+ base_provider='openai',
+ best_provider=Vercel)
llama13b_v2_chat = Model(
- name = 'replicate:a16z-infra/llama13b-v2-chat',
- base_provider = 'replicate',
- best_provider = Vercel)
+ name='replicate:a16z-infra/llama13b-v2-chat',
+ base_provider='replicate',
+ best_provider=Vercel)
llama7b_v2_chat = Model(
- name = 'replicate:a16z-infra/llama7b-v2-chat',
- base_provider = 'replicate',
- best_provider = Vercel)
+ name='replicate:a16z-infra/llama7b-v2-chat',
+ base_provider='replicate',
+ best_provider=Vercel)
class ModelUtils:
convert: dict[str, Model] = {
# GPT-3.5 / GPT-4
- 'gpt-3.5-turbo' : gpt_35_turbo,
- 'gpt-4' : gpt_4,
-
+ 'gpt-3.5-turbo': gpt_35_turbo,
+ 'gpt-4': gpt_4,
+
# Bard
- 'palm2' : palm,
- 'palm' : palm,
- 'google' : palm,
- 'google-bard' : palm,
- 'google-palm' : palm,
- 'bard' : palm,
-
+ 'palm2': palm,
+ 'palm': palm,
+ 'google': palm,
+ 'google-bard': palm,
+ 'google-palm': palm,
+ 'bard': palm,
+
# H2o
- 'falcon-40b' : falcon_40b,
- 'falcon-7b' : falcon_7b,
- 'llama-13b' : llama_13b,
-
+ 'falcon-40b': falcon_40b,
+ 'falcon-7b': falcon_7b,
+ 'llama-13b': llama_13b,
+
# Vercel
- 'claude-instant-v1' : claude_instant_v1,
- 'claude-v1' : claude_v1,
- 'claude-v2' : claude_v2,
- 'command-nightly' : command_nightly,
- 'gpt-neox-20b' : gpt_neox_20b,
- 'santacoder' : santacoder,
- 'bloom' : bloom,
- 'flan-t5-xxl' : flan_t5_xxl,
- 'code-davinci-002' : code_davinci_002,
- 'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
- 'gpt-4-0613' : gpt_4_0613,
- 'text-ada-001' : text_ada_001,
- 'text-babbage-001' : text_babbage_001,
- 'text-curie-001' : text_curie_001,
- 'text-davinci-002' : text_davinci_002,
- 'text-davinci-003' : text_davinci_003,
- 'llama13b-v2-chat' : llama13b_v2_chat,
- 'llama7b-v2-chat' : llama7b_v2_chat,
-
- 'oasst-sft-1-pythia-12b' : oasst_sft_1_pythia_12b,
- 'oasst-sft-4-pythia-12b-epoch-3.5' : oasst_sft_4_pythia_12b_epoch_35,
- 'command-light-nightly' : command_light_nightly,
- 'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
- } \ No newline at end of file
+ 'claude-instant-v1': claude_instant_v1,
+ 'claude-v1': claude_v1,
+ 'claude-v2': claude_v2,
+ 'command-nightly': command_nightly,
+ 'gpt-neox-20b': gpt_neox_20b,
+ 'santacoder': santacoder,
+ 'bloom': bloom,
+ 'flan-t5-xxl': flan_t5_xxl,
+ 'code-davinci-002': code_davinci_002,
+ 'gpt-3.5-turbo-16k': gpt_35_turbo_16k,
+ 'gpt-4-0613': gpt_4_0613,
+ 'text-ada-001': text_ada_001,
+ 'text-babbage-001': text_babbage_001,
+ 'text-curie-001': text_curie_001,
+ 'text-davinci-002': text_davinci_002,
+ 'text-davinci-003': text_davinci_003,
+ 'llama13b-v2-chat': llama13b_v2_chat,
+ 'llama7b-v2-chat': llama7b_v2_chat,
+
+ 'oasst-sft-1-pythia-12b': oasst_sft_1_pythia_12b,
+ 'oasst-sft-4-pythia-12b-epoch-3.5': oasst_sft_4_pythia_12b_epoch_35,
+ 'command-light-nightly': command_light_nightly,
+ 'gpt-3.5-turbo-16k-0613': gpt_35_turbo_16k_0613,
+ }
diff --git a/g4f/typing.py b/g4f/typing.py
index 5f63c222..2a9396a8 100644
--- a/g4f/typing.py
+++ b/g4f/typing.py
@@ -12,9 +12,10 @@ CreateResult = Generator[str, None, None]
__all__ = [
'Any',
'AsyncGenerator',
+ 'CreateResult',
'Generator',
+ 'SHA256',
'Tuple',
'TypedDict',
- 'SHA256',
- 'CreateResult',
+ 'Union',
]