gpt4free/tool/create_provider.py

115 lines
2.9 KiB
Python

import sys, re
from pathlib import Path
from os import path
sys.path.append(str(Path(__file__).parent.parent))
import g4f
def read_code(text):
match = re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text)
if match:
return match.group("code")
def read_result(result):
lines = []
for line in result.split("\n"):
if (line.startswith("```")):
break
if (line):
lines.append(line)
explanation = "\n".join(lines) if lines else ""
return explanation, read_code(result)
def input_command():
print("Enter/Paste the cURL command. Ctrl-D or Ctrl-Z ( windows ) to save it.")
contents = []
while True:
try:
line = input()
except:
break
contents.append(line)
return "\n".join(contents)
name = input("Name: ")
provider_path = f"g4f/Provider/{name}.py"
example = """
from __future__ import annotations
from aiohttp import ClientSession
from ..typing import AsyncGenerator
from .base_provider import AsyncGeneratorProvider
from .helper import format_prompt
class ChatgptDuo(AsyncGeneratorProvider):
url = "https://chat-gpt.com"
supports_gpt_35_turbo = True
working = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
**kwargs
) -> AsyncGenerator:
headers = {
"authority": "chat-gpt.com",
"accept": "application/json",
"origin": cls.url,
"referer": f"{cls.url}/chat",
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages),
data = {
"prompt": prompt,
"purpose": "ask",
}
async with session.post(cls.url + "/api/chat", json=data) as response:
response.raise_for_status()
async for stream in response.content:
if stream:
yield stream.decode()
"""
if not path.isfile(provider_path):
command = input_command()
prompt = f"""
Create a provider from a cURL command. The command is:
```bash
{command}
```
A example for a provider:
```py
{example}
```
The name for the provider class:
{name}
Replace "hello" with `format_prompt(messages)`.
And replace "gpt-3.5-turbo" with `model`.
"""
print("Create code...")
response = g4f.ChatCompletion.create(
model=g4f.models.gpt_35_long,
messages=[{"role": "user", "content": prompt}],
auth=True,
timeout=120,
)
print(response)
explanation, code = read_result(response)
if code:
with open(provider_path, "w") as file:
file.write(code)
with open(f"g4f/Provider/__init__.py", "a") as file:
file.write(f"\nfrom .{name} import {name}")
else:
with open(provider_path, "r") as file:
code = file.read()