diff options
Diffstat (limited to 'g4f')
| -rw-r--r-- | g4f/Provider/Providers/H2o.py | 198 |
1 files changed, 93 insertions, 105 deletions
diff --git a/g4f/Provider/Providers/H2o.py b/g4f/Provider/Providers/H2o.py index eabf94e2..4400f3a9 100644 --- a/g4f/Provider/Providers/H2o.py +++ b/g4f/Provider/Providers/H2o.py @@ -1,106 +1,94 @@ -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 - -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 = 'instruction: this is a conversation beween, a user and an AI assistant, respond to the latest message, referring to the conversation if needed\n' - for message in messages: - conversation += '%s: %s\n' % (message['role'], message['content']) - conversation += 'assistant:' - - client = Session() - client.headers = { - 'authority': 'gpt-gm.h2o.ai', - 'origin': 'https://gpt-gm.h2o.ai', - 'referer': 'https://gpt-gm.h2o.ai/', - 'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'document', - 'sec-fetch-mode': 'navigate', - 'sec-fetch-site': 'same-origin', - 'sec-fetch-user': '?1', - 'upgrade-insecure-requests': '1', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36', - } - - client.get('https://gpt-gm.h2o.ai/') - response = client.post('https://gpt-gm.h2o.ai/settings', data={ - 'ethicsModalAccepted': 'true', - 'shareConversationsWithModelAuthors': 'true', - 'ethicsModalAcceptedAt': '', - 'activeModel': 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1', - 'searchEnabled': 'true', - }) - - headers = { - 'authority': 'gpt-gm.h2o.ai', - 'accept': '*/*', - 'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3', - 'origin': 'https://gpt-gm.h2o.ai', - 'referer': 'https://gpt-gm.h2o.ai/', - 'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"', - 'sec-ch-ua-mobile': '?0', - 'sec-ch-ua-platform': '"Windows"', - 'sec-fetch-dest': 'empty', - 'sec-fetch-mode': 'cors', - 'sec-fetch-site': 'same-origin', - 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36', - } - - json_data = { - 'model': models[model] - } - - response = client.post('https://gpt-gm.h2o.ai/conversation', - headers=headers, json=json_data) - conversationId = response.json()['conversationId'] - - - completion = client.post(f'https://gpt-gm.h2o.ai/conversation/{conversationId}', stream=True, json = { - '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': '' - } - }) - - for line in completion.iter_lines(): - if b'data' in line: - line = loads(line.decode('utf-8').replace('data:', '')) - token = line['token']['text'] - - if token == '<|endoftext|>': - break - else: - yield (token) - -params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \ +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
+
+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]])
\ No newline at end of file |