Spaces:
Sleeping
Sleeping
File size: 1,635 Bytes
19dc0f3 |
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 |
import base64
import os
import time
import traceback
from typing import Callable, Optional
import numpy as np
def float_list_to_base64(float_array: np.ndarray) -> str:
# Convert the list to a float32 array that the OpenAPI client expects
# float_array = np.array(float_list, dtype="float32")
# Get raw bytes
bytes_array = float_array.tobytes()
# Encode bytes into base64
encoded_bytes = base64.b64encode(bytes_array)
# Turn raw base64 encoded bytes into ASCII
ascii_string = encoded_bytes.decode('ascii')
return ascii_string
def debug_msg(*args, **kwargs):
from extensions.openai.script import params
if os.environ.get("OPENEDAI_DEBUG", params.get('debug', 0)):
print(*args, **kwargs)
def _start_cloudflared(port: int, tunnel_id: str, max_attempts: int = 3, on_start: Optional[Callable[[str], None]] = None):
try:
from flask_cloudflared import _run_cloudflared
except ImportError:
print('You should install flask_cloudflared manually')
raise Exception(
'flask_cloudflared not installed. Make sure you installed the requirements.txt for this extension.')
for _ in range(max_attempts):
try:
if tunnel_id is not None:
public_url = _run_cloudflared(port, port + 1, tunnel_id=tunnel_id)
else:
public_url = _run_cloudflared(port, port + 1)
if on_start:
on_start(public_url)
return
except Exception:
traceback.print_exc()
time.sleep(3)
raise Exception('Could not start cloudflared.')
|