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from __future__ import annotations
import requests, json
from ..typing import CreateResult, Messages
from .base_provider import BaseProvider
class DeepInfra(BaseProvider):
url: str = "https://deepinfra.com"
working: bool = True
supports_stream: bool = True
supports_message_history: bool = True
@staticmethod
def create_completion(model: str,
messages: Messages,
stream: bool,
**kwargs) -> CreateResult:
headers = {
'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',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Content-Type': 'application/json',
'Origin': 'https://deepinfra.com',
'Pragma': 'no-cache',
'Referer': 'https://deepinfra.com/',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-site',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
'X-Deepinfra-Source': 'web-embed',
'accept': 'text/event-stream',
'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
}
json_data = json.dumps({
'model' : 'meta-llama/Llama-2-70b-chat-hf',
'messages': messages,
'stream' : True}, separators=(',', ':'))
response = requests.post('https://api.deepinfra.com/v1/openai/chat/completions',
headers=headers, data=json_data, stream=True)
response.raise_for_status()
first = True
for line in response.iter_content(chunk_size=1024):
if line.startswith(b"data: [DONE]"):
break
elif line.startswith(b"data: "):
chunk = json.loads(line[6:])["choices"][0]["delta"].get("content")
if chunk:
if first:
chunk = chunk.lstrip()
if chunk:
first = False
yield (chunk)
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