mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-04 19:35:01 +03:00
94 lines
3.7 KiB
Python
94 lines
3.7 KiB
Python
from requests import Session
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from uuid import uuid4
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from json import loads
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import os
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import json
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import requests
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from ...typing import sha256, Dict, get_type_hints
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url = 'https://gpt-gm.h2o.ai'
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model = ['falcon-40b', 'falcon-7b', 'llama-13b']
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supports_stream = True
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needs_auth = False
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models = {
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'falcon-7b': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
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'falcon-40b': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
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'llama-13b': 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b'
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}
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def _create_completion(model: str, messages: list, stream: bool, **kwargs):
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conversation = ''
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for message in messages:
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conversation += '%s: %s\n' % (message['role'], message['content'])
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conversation += 'assistant: '
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session = requests.Session()
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response = session.get("https://gpt-gm.h2o.ai/")
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
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"Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
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"Content-Type": "application/x-www-form-urlencoded",
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"Upgrade-Insecure-Requests": "1",
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"Sec-Fetch-Dest": "document",
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"Sec-Fetch-Mode": "navigate",
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"Sec-Fetch-Site": "same-origin",
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"Sec-Fetch-User": "?1",
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"Referer": "https://gpt-gm.h2o.ai/r/jGfKSwU"
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}
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data = {
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"ethicsModalAccepted": "true",
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"shareConversationsWithModelAuthors": "true",
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"ethicsModalAcceptedAt": "",
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"activeModel": "h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1",
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"searchEnabled": "true"
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}
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response = session.post("https://gpt-gm.h2o.ai/settings", headers=headers, data=data)
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0",
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"Accept": "*/*",
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"Accept-Language": "ru-RU,ru;q=0.8,en-US;q=0.5,en;q=0.3",
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"Content-Type": "application/json",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "same-origin",
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"Referer": "https://gpt-gm.h2o.ai/"
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}
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data = {
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"model": models[model]
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}
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conversation_id = session.post("https://gpt-gm.h2o.ai/conversation", headers=headers, json=data)
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data = {
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"inputs": conversation,
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"parameters": {
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"temperature": kwargs.get('temperature', 0.4),
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"truncate": kwargs.get('truncate', 2048),
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"max_new_tokens": kwargs.get('max_new_tokens', 1024),
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"do_sample": kwargs.get('do_sample', True),
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"repetition_penalty": kwargs.get('repetition_penalty', 1.2),
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"return_full_text": kwargs.get('return_full_text', False)
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},
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"stream": True,
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"options": {
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"id": kwargs.get('id', str(uuid4())),
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"response_id": kwargs.get('response_id', str(uuid4())),
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"is_retry": False,
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"use_cache": False,
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"web_search_id": ""
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}
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}
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response = session.post(f"https://gpt-gm.h2o.ai/conversation/{conversation_id.json()['conversationId']}", headers=headers, json=data)
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generated_text = response.text.replace("\n", "").split("data:")
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generated_text = json.loads(generated_text[-1])
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return generated_text["generated_text"]
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params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
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'(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]]) |