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from requests import Session
from uuid import uuid4
from json import loads
import os
import json
import requests
from ...typing import sha256, Dict, get_type_hints
url = 'https://gpt-gm.h2o.ai'
model = ['falcon-40b', 'falcon-7b', 'llama-13b']
supports_stream = True
needs_auth = False
working = True
models = {
'falcon-7b': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
'falcon-40b': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
'llama-13b': 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b'
}
def _create_completion(model: str, messages: list, stream: bool, **kwargs):
conversation = ''
for message in messages:
conversation += '%s: %s\n' % (message['role'], message['content'])
conversation += 'assistant: '
session = requests.Session()
response = session.get("https://gpt-gm.h2o.ai/")
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
"Content-Type": "application/x-www-form-urlencoded",
"Upgrade-Insecure-Requests": "1",
"Sec-Fetch-Dest": "document",
"Sec-Fetch-Mode": "navigate",
"Sec-Fetch-Site": "same-origin",
"Sec-Fetch-User": "?1",
"Referer": "https://gpt-gm.h2o.ai/r/jGfKSwU"
}
data = {
"ethicsModalAccepted": "true",
"shareConversationsWithModelAuthors": "true",
"ethicsModalAcceptedAt": "",
"activeModel": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1",
"searchEnabled": "true"
}
response = session.post("https://gpt-gm.h2o.ai/settings", headers=headers, data=data)
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
"Accept": "*/*",
"Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
"Content-Type": "application/json",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"Referer": "https://gpt-gm.h2o.ai/"
}
data = {
"model": models[model]
}
conversation_id = session.post("https://gpt-gm.h2o.ai/conversation", headers=headers, json=data)
data = {
"inputs": conversation,
"parameters": {
"temperature": kwargs.get('temperature', 0.4),
"truncate": kwargs.get('truncate', 2048),
"max_new_tokens": kwargs.get('max_new_tokens', 1024),
"do_sample": kwargs.get('do_sample', True),
"repetition_penalty": kwargs.get('repetition_penalty', 1.2),
"return_full_text": kwargs.get('return_full_text', False)
},
"stream": True,
"options": {
"id": kwargs.get('id', str(uuid4())),
"response_id": kwargs.get('response_id', str(uuid4())),
"is_retry": False,
"use_cache": False,
"web_search_id": ""
}
}
response = session.post(f"https://gpt-gm.h2o.ai/conversation/{conversation_id.json()['conversationId']}", headers=headers, json=data)
generated_text = response.text.replace("\n", "").split("data:")
generated_text = json.loads(generated_text[-1])
return generated_text["generated_text"]
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]])
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