mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-23 09:10:13 +03:00
104 lines
3.1 KiB
Python
104 lines
3.1 KiB
Python
import json
|
|
import re
|
|
from typing import Any
|
|
|
|
import quickjs
|
|
from curl_cffi import requests
|
|
|
|
session = requests.Session(impersonate="chrome107")
|
|
|
|
|
|
def get_model_info() -> dict[str, Any]:
|
|
url = "https://sdk.vercel.ai"
|
|
response = session.get(url)
|
|
html = response.text
|
|
paths_regex = r"static\/chunks.+?\.js"
|
|
separator_regex = r'"\]\)<\/script><script>self\.__next_f\.push\(\[.,"'
|
|
|
|
paths = re.findall(paths_regex, html)
|
|
paths = [re.sub(separator_regex, "", path) for path in paths]
|
|
paths = list(set(paths))
|
|
|
|
urls = [f"{url}/_next/{path}" for path in paths]
|
|
scripts = [session.get(url).text for url in urls]
|
|
|
|
models_regex = r'let .="\\n\\nHuman:\",r=(.+?),.='
|
|
for script in scripts:
|
|
|
|
matches = re.findall(models_regex, script)
|
|
if matches:
|
|
models_str = matches[0]
|
|
stop_sequences_regex = r"(?<=stopSequences:{value:\[)\D(?<!\])"
|
|
models_str = re.sub(
|
|
stop_sequences_regex, re.escape('"\\n\\nHuman:"'), models_str
|
|
)
|
|
|
|
context = quickjs.Context() # type: ignore
|
|
json_str: str = context.eval(f"({models_str})").json() # type: ignore
|
|
return json.loads(json_str) # type: ignore
|
|
|
|
return {}
|
|
|
|
|
|
def convert_model_info(models: dict[str, Any]) -> dict[str, Any]:
|
|
model_info: dict[str, Any] = {}
|
|
for model_name, params in models.items():
|
|
default_params = params_to_default_params(params["parameters"])
|
|
model_info[model_name] = {"id": params["id"], "default_params": default_params}
|
|
return model_info
|
|
|
|
|
|
def params_to_default_params(parameters: dict[str, Any]):
|
|
defaults: dict[str, Any] = {}
|
|
for key, parameter in parameters.items():
|
|
if key == "maximumLength":
|
|
key = "maxTokens"
|
|
defaults[key] = parameter["value"]
|
|
return defaults
|
|
|
|
|
|
def get_model_names(model_info: dict[str, Any]):
|
|
model_names = model_info.keys()
|
|
model_names = [
|
|
name
|
|
for name in model_names
|
|
if name not in ["openai:gpt-4", "openai:gpt-3.5-turbo"]
|
|
]
|
|
model_names.sort()
|
|
return model_names
|
|
|
|
|
|
def print_providers(model_names: list[str]):
|
|
for name in model_names:
|
|
split_name = re.split(r":|/", name)
|
|
base_provider = split_name[0]
|
|
variable_name = split_name[-1].replace("-", "_").replace(".", "")
|
|
line = f'{variable_name} = Model(name="{name}", base_provider="{base_provider}", best_provider=Vercel,)\n'
|
|
print(line)
|
|
|
|
|
|
def print_convert(model_names: list[str]):
|
|
for name in model_names:
|
|
split_name = re.split(r":|/", name)
|
|
key = split_name[-1]
|
|
variable_name = split_name[-1].replace("-", "_").replace(".", "")
|
|
# "claude-instant-v1": claude_instant_v1,
|
|
line = f' "{key}": {variable_name},'
|
|
print(line)
|
|
|
|
|
|
def main():
|
|
model_info = get_model_info()
|
|
model_info = convert_model_info(model_info)
|
|
print(json.dumps(model_info, indent=2))
|
|
|
|
model_names = get_model_names(model_info)
|
|
print("-------" * 40)
|
|
print_providers(model_names)
|
|
print("-------" * 40)
|
|
print_convert(model_names)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|