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72a7e68 21865d4 72a7e68 21865d4 72a7e68 21865d4 72a7e68 | 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 | import asyncio
import os
import requests
from abc import ABC, abstractmethod
import openai
import aiohttp
from datasets import load_dataset
def download_dataset_hf(name: str, split: str = None):
dataset = load_dataset(name, split=split)
return dataset
class APIModelBase(ABC):
def __init__(self, args):
self.args = args
self.generation_params = self.get_generation_params()
def get_generation_params(self):
return {
"temperature": self.args.temperature,
"top_p": self.args.top_p,
"frequency_penalty": self.args.frequency_penalty,
}
@abstractmethod
def get_payload(self, messages):
pass
@abstractmethod
def create_prompt(self, text):
pass
@abstractmethod
def respond(self, texts):
pass
@abstractmethod
def respond_async(self, texts):
pass
class OpenaiModel(APIModelBase):
def __init__(self, args):
super().__init__(args)
self.system_prompt = self.args.system_prompt
def get_payload(self, messages):
return {
"model": self.args.model_openai,
"messages": messages,
"n": 1,
**self.generation_params,
"max_tokens": self.args.max_gen_length,
"timeout": 10000,
"seed": 0
}
def create_prompt(self, text):
if self.system_prompt is not None:
messages = [{"role": "system", "content": self.system_prompt}]
else:
messages = []
messages.append({"role": "user", "content": text})
return messages
def get_generation_params(self):
return {
"temperature": self.args.temperature,
"top_p": self.args.top_p,
"frequency_penalty": self.args.frequency_penalty,
}
def respond(self, texts):
answers = []
for text in texts:
answer = self.generate_answers(text)
answers.append(answer)
return answers
async def respond_async(self, texts):
tasks = []
for text in texts:
task = asyncio.create_task(self.generate_answers_async(text))
tasks.append(task)
result = await asyncio.gather(*tasks)
# print(result)
assert len(result) == len(texts)
return result
def generate_answers(self, text):
with openai.OpenAI(
api_key=os.getenv("OPENAI_API_KEY"), base_url=self.args.hostname
) as client:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
completion = client.chat.completions.create(**payload)
return completion.choices[0].message.content
async def generate_answers_async(self, text):
async with openai.AsyncOpenAI(
api_key=os.getenv("OPENAI_API_KEY"), base_url=self.args.hostname
) as client:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
completion = await client.chat.completions.create(**payload)
return completion.choices[0].message.content
class GigachatModel(APIModelBase):
def __init__(self, args):
super().__init__(args)
from gigachat import GigaChat
self.client = GigaChat(
base_url=self.args.hostname,
credentials=os.getenv("GIGACHAT_CREDENTIALS"),
scope="GIGACHAT_API_PERS",
verify_ssl_certs=False,
timeout=100,
)
self.system_prompt = None
def get_generation_params(self):
if self.args.overwrite_competitor_args:
return {
"temperature": self.args.temperature,
"top_p": self.args.top_p,
"frequency_penalty": self.args.frequency_penalty,
}
return {}
def create_prompt(self, text):
from gigachat.models import Messages, MessagesRole
if self.system_prompt is not None:
messages = [Messages(role=MessagesRole.SYSTEM, content=self.system_prompt)]
else:
messages = []
messages.append(Messages(role=MessagesRole.USER, content=text))
return messages
def get_payload(self, messages):
return {
"model": self.args.model_openai,
"messages": messages,
"max_tokens": self.args.max_gen_length,
**self.generation_params,
}
def respond(self, texts):
result = []
for text in texts:
with self.get_client() as client:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
answer = client.chat(payload).choices[0].message.content
result.append(answer)
# print(result)
assert len(result) == len(texts)
return result
async def respond_async(self, texts):
tasks = []
for text in texts:
task = asyncio.create_task(self.generate_answers(text))
tasks.append(task)
result = await asyncio.gather(*tasks)
# print(result)
assert len(result) == len(texts)
return result
async def generate_answers(self, text):
async with self.get_client() as client:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
completion = await client.achat(payload)
return completion.choices[0].message.content
def get_client(self):
from gigachat import GigaChat
return GigaChat(
base_url=self.args.hostname,
credentials=os.getenv("GIGACHAT_CREDENTIALS"),
scope="GIGACHAT_API_PERS",
verify_ssl_certs=False,
timeout=100,
)
class YandexGPTModel(APIModelBase):
def __init__(self, args):
super().__init__(args)
self.folder_id = os.getenv("YANDEX_FOLDER_ID")
self.token = os.getenv("YANDEX_KEY")
self.model_version = self.args.model_version or "rc"
self.system_prompt = None
def get_generation_params(self):
if self.args.overwrite_competitor_args:
return {
"temperature": self.args.temperature,
"top_p": self.args.top_p,
"frequency_penalty": self.args.frequency_penalty,
}
return {}
def get_payload(self, messages):
model_uri = (
f"gpt://{self.folder_id}/{self.args.model_openai}/{self.model_version}"
)
return {
"modelUri": model_uri,
"completionOptions": {
"stream": False,
"max_tokens": self.args.max_gen_length,
**self.generation_params,
},
"messages": messages,
}
def create_prompt(self, text):
if self.system_prompt is not None:
messages = [{"role": "system", "text": self.system_prompt}]
else:
messages = []
messages.append({"role": "user", "text": text})
return messages
def respond(self, texts):
result = []
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {self.token}",
"x-folder-id": self.folder_id,
}
for text in texts:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
response = requests.post(self.args.hostname, headers=headers, json=payload)
response.raise_for_status()
answer = response.json()
if "error" in answer:
raise Exception(f"Operation failed: {answer['error']['message']}")
alternatives = answer["result"]["alternatives"]
if alternatives:
result.append(alternatives[0]["message"]["text"])
return result
async def respond_async(self, texts):
tasks = []
for text in texts:
task = asyncio.create_task(self.generate_answers(text))
tasks.append(task)
result = await asyncio.gather(*tasks)
# print(result)
assert len(result) == len(texts)
return result
async def generate_answers(self, text):
operation_url = "https://operation.api.cloud.yandex.net/operations/"
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {self.token}",
"x-folder-id": self.folder_id,
}
async with aiohttp.ClientSession() as session:
messages = self.create_prompt(text)
payload = self.get_payload(messages)
async with session.post(
self.args.hostname, headers=headers, json=payload
) as response:
response.raise_for_status()
operation = await response.json()
operation_id = operation["id"]
while True:
async with session.get(
f"{operation_url}{operation_id}", headers=headers
) as response:
response.raise_for_status()
answer = await response.json()
if answer["done"]:
break
await asyncio.sleep(1) # Wait for 1 second before polling again
if "error" in answer:
raise Exception(f"Operation failed: {answer['error']['message']}")
alternatives = answer["response"]["alternatives"]
if alternatives:
return [alternatives[0]["message"]["text"]]
else:
return None
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