Merge branch 'main' of https://github.com/xtekky/gpt4free

README.md

@@ -145,7 +145,7 @@ import g4f
 
 print(g4f.Provider.Ails.params)  # supported args
 
-# Automatic selection of Provider
+# Automatic selection of provider
 
 # streamed completion
 response = g4f.ChatCompletion.create(
@@ -166,7 +166,7 @@ response = g4f.ChatCompletion.create(
 print(response)
 
 
-# Set with Provider
+# Set with provider
 response = g4f.ChatCompletion.create(
     model="gpt-3.5-turbo",
     provider=g4f.Provider.DeepAi,
@@ -474,8 +474,8 @@ if __name__ == "__main__":
 
 to add another provider, its very simple:
 
-1. create a new file in [g4f/Provider](./g4f/Provider) with the name of the Provider
-2. Implement a class that extends [BaseProvider](./g4f/Provider/base_provider.py).
+1. create a new file in [g4f/provider](./g4f/provider) with the name of the Provider
+2. Implement a class that extends [BaseProvider](./g4f/provider/base_provider.py).
 
 ```py
 from .base_provider import BaseProvider
@@ -499,7 +499,7 @@ class HogeService(BaseProvider):
 
 3. Here, you can adjust the settings, for example if the website does support streaming, set `working` to `True`...
 4. Write code to request the provider in `create_completion` and `yield` the response, _even if_ its a one-time response, do not hesitate to look at other providers for inspiration
-5. Add the Provider Name in [g4f/provider/\_\_init__.py](./g4f/Provider/__init__.py)
+5. Add the Provider Name in [g4f/provider/**init**.py](./g4f/provider/__init__.py)
 
 ```py
 from .base_provider import BaseProvider

g4f/Provider/AItianhu.py

@@ -70,4 +70,4 @@ class AItianhu(AsyncGeneratorProvider):
             ("top_p", "int"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Ails.py

@@ -85,7 +85,7 @@ class Ails(AsyncGeneratorProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
 
 
 def _hash(json_data: dict[str, str]) -> SHA256:

g4f/Provider/Aivvm.py

@@ -75,4 +75,4 @@ class Aivvm(AsyncGeneratorProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Bard.py

@@ -88,4 +88,4 @@ class Bard(AsyncProvider):
             ("proxy", "str"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/ChatBase.py

@@ -59,4 +59,4 @@ class ChatBase(AsyncGeneratorProvider):
             ("stream", "bool"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/ChatgptLogin.py

@@ -64,4 +64,4 @@ class ChatgptLogin(AsyncProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/CodeLinkAva.py

@@ -60,4 +60,4 @@ class CodeLinkAva(AsyncGeneratorProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/DfeHub.py

@@ -74,4 +74,4 @@ class DfeHub(BaseProvider):
             ("top_p", "int"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/EasyChat.py

@@ -108,4 +108,4 @@ class EasyChat(BaseProvider):
             ("active_server", "int"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Equing.py

@@ -78,4 +78,4 @@ class Equing(BaseProvider):
             ("stream", "bool"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/FastGpt.py

@@ -83,4 +83,4 @@ class FastGpt(ABC):
             ("stream", "bool"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/GetGpt.py

@@ -66,7 +66,7 @@ class GetGpt(BaseProvider):
             ('max_tokens', 'int'),
         ]
         param = ', '.join([': '.join(p) for p in params])
-        return f'g4f.Provider.{cls.__name__} supports: ({param})'
+        return f'g4f.provider.{cls.__name__} supports: ({param})'
 
 
 def _encrypt(e: str):

g4f/Provider/H2o.py

@@ -98,4 +98,4 @@ class H2o(AsyncGeneratorProvider):
             ("return_full_text", "bool"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/HuggingChat.py

@@ -103,4 +103,4 @@ class HuggingChat(AsyncGeneratorProvider):
             ("proxy", "str"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Liaobots.py

@@ -88,4 +88,4 @@ class Liaobots(AsyncGeneratorProvider):
             ("auth", "str"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Lockchat.py

@@ -61,4 +61,4 @@ class Lockchat(BaseProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/OpenAssistant.py

@@ -99,4 +99,4 @@ class OpenAssistant(AsyncGeneratorProvider):
             ("proxy", "str"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/OpenaiChat.py

@@ -91,4 +91,4 @@ class OpenaiChat(AsyncProvider):
             ("cookies", "dict[str, str]")
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Raycast.py

@@ -69,4 +69,4 @@ class Raycast(BaseProvider):
             ("auth", "str"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Theb.py

@@ -94,4 +94,4 @@ class Theb(BaseProvider):
             ("top_p", "int")
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/V50.py

@@ -64,4 +64,4 @@ class V50(BaseProvider):
             ("top_p", "int"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Vitalentum.py

@@ -63,4 +63,4 @@ class Vitalentum(AsyncGeneratorProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Wuguokai.py

@@ -60,4 +60,4 @@ class Wuguokai(BaseProvider):
             ("stream", "bool")
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/Ylokh.py

@@ -73,4 +73,4 @@ class Ylokh(AsyncGeneratorProvider):
             ("temperature", "float"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"

g4f/Provider/base_provider.py

@@ -34,7 +34,7 @@ class BaseProvider(ABC):
             ("stream", "bool"),
         ]
         param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.Provider.{cls.__name__} supports: ({param})"
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
     
 
 _cookies = {}

g4f/__init__.py

@@ -21,8 +21,9 @@ class ChatCompletion:
             except KeyError:
                 raise Exception(f'The model: {model} does not exist')
 
+
         if not provider:
-            if isinstance(model.best_provider, list):
+            if isinstance(model.best_provider, tuple):
                 provider = random.choice(model.best_provider)
             else:
                 provider = model.best_provider

g4f/models.py

@@ -0,0 +1,212 @@
+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 .typing import Union
+
+@dataclass
+class Model:
+    name: str
+    base_provider: str
+    best_provider: Union[type[BaseProvider], tuple[type[BaseProvider]]] = None
+
+# Config for HuggingChat, OpenAssistant
+# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
+default = Model(
+    name="",
+    base_provider="huggingface"
+)
+
+# GPT-3.5 / GPT-4
+gpt_35_turbo = Model(
+    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',
+)
+
+# Bard
+palm = Model(
+    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)
+
+falcon_40b = Model(
+    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)
+
+# Vercel
+claude_instant_v1 = Model(
+    name          = 'anthropic:claude-instant-v1',
+    base_provider = 'anthropic',
+    best_provider = Vercel)
+
+claude_v1 = Model(
+    name          = 'anthropic:claude-v1',
+    base_provider = 'anthropic',
+    best_provider = Vercel)
+
+claude_v2 = Model(
+    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)
+
+command_nightly = Model(
+    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)
+
+oasst_sft_1_pythia_12b = Model(
+    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)
+
+santacoder = Model(
+    name          = 'huggingface:bigcode/santacoder',
+    base_provider = 'huggingface',
+    best_provider = Vercel)
+
+bloom = Model(
+    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)
+
+code_davinci_002 = Model(
+    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)
+
+gpt_35_turbo_16k_0613 = Model(
+    name          = 'openai:gpt-3.5-turbo-16k-0613',
+    base_provider = 'openai')
+
+gpt_4_0613 = Model(
+    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)
+
+text_babbage_001 = Model(
+    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)
+
+text_davinci_002 = Model(
+    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)
+
+llama13b_v2_chat = Model(
+    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)
+
+
+class ModelUtils:
+    convert: dict[str, Model] = {
+        # GPT-3.5 / 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,
+        
+        # H2o
+        '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,
+    }

g4f/typing.py

@@ -12,10 +12,9 @@ CreateResult = Generator[str, None, None]
 __all__ = [
     'Any',
     'AsyncGenerator',
-    'CreateResult',
     'Generator',
-    'SHA256',
     'Tuple',
     'TypedDict',
-    'Union',
+    'SHA256',
+    'CreateResult',
 ]

tool/provider_init.py

@@ -3,13 +3,13 @@ from pathlib import Path
 
 def main():
     content = create_content()
-    with open("g4f/Provider/__init__.py", "w", encoding="utf-8") as f:
+    with open("g4f/provider/__init__.py", "w", encoding="utf-8") as f:
         f.write(content)
 
 
 def create_content():
     path = Path()
-    paths = path.glob("g4f/Provider/*.py")
+    paths = path.glob("g4f/provider/*.py")
     paths = [p for p in paths if p.name not in ["__init__.py", "base_provider.py"]]
     classnames = [p.stem for p in paths]
 

tool/readme_table.py

@@ -81,7 +81,7 @@ def print_providers():
             netloc = urlparse(_provider.url).netloc
             website = f"[{netloc}]({_provider.url})"
 
-            provider_name = f"g4f.Provider.{_provider.__name__}"
+            provider_name = f"g4f.provider.{_provider.__name__}"
 
             has_gpt_35 = "✔️" if _provider.supports_gpt_35_turbo else "❌"
             has_gpt_4 = "✔️" if _provider.supports_gpt_4 else "❌"
@@ -128,7 +128,7 @@ def print_models():
 
         name = re.split(r":|/", model.name)[-1]
         base_provider = base_provider_names[model.base_provider]
-        provider_name = f"g4f.Provider.{model.best_provider.__name__}"
+        provider_name = f"g4f.provider.{model.best_provider.__name__}"
         provider_url = provider_urls[model.best_provider.__name__]
         netloc = urlparse(provider_url).netloc
         website = f"[{netloc}]({provider_url})"