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]])