Spaces:
Running
Running
File size: 1,192 Bytes
1e2f57f 1fc65b1 1e2f57f 9d9c069 1e2f57f 1fc65b1 1e2f57f 1fc65b1 9d9c069 1e2f57f 5684fd5 1e2f57f 9d9c069 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
import os
import json
import requests
from ...typing import sha256, Dict, get_type_hints
url = 'forefront.com'
model = ['gpt-3.5-turbo', 'gpt-4']
supports_stream = True
def _create_completion(model: str, messages: list, stream: bool, **kwargs):
json_data = {
'text': messages[-1]['content'],
'action': 'noauth',
'id': '',
'parentId': '',
'workspaceId': '',
'messagePersona': '607e41fe-95be-497e-8e97-010a59b2e2c0',
'model': model,
'messages': messages[:-1] if len(messages) > 1 else [],
'internetMode': 'auto'
}
response = requests.post('https://streaming.tenant-forefront-default.knative.chi.coreweave.com/free-chat',
json=json_data, stream=True)
for token in response.iter_lines():
if b'delta' in token:
yield json.loads(token.decode().split('data: ')[1])['delta']
params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
'(%s)' % ', '.join(
[f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in
_create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])
|