gpt4free/testing/test_needs_auth.py
Heiner Lohaus 126496d3ca Add OpenaiChat and Hugchat Provider
Add tests for providers with auth
Improve async support / 2x faster
Shared get_cookies by domain  function
2023-08-25 06:41:32 +02:00

95 lines
2.8 KiB
Python

import sys
from pathlib import Path
import asyncio
from time import time
sys.path.append(str(Path(__file__).parent.parent))
import g4f
providers = [g4f.Provider.OpenaiChat, g4f.Provider.Bard, g4f.Provider.Bing]
# Async support
async def log_time_async(method: callable, **kwargs):
start = time()
result = await method(**kwargs)
secs = f"{round(time() - start, 2)} secs"
if result:
return " ".join([result, secs])
return secs
def log_time_yield(method: callable, **kwargs):
start = time()
result = yield from method(**kwargs)
yield f" {round(time() - start, 2)} secs"
def log_time(method: callable, **kwargs):
start = time()
result = method(**kwargs)
secs = f"{round(time() - start, 2)} secs"
if result:
return " ".join([result, secs])
return secs
async def run_async():
responses = []
for provider in providers:
responses.append(log_time_async(
provider.create_async,
model=None,
messages=[{"role": "user", "content": "Hello"}],
log_time=True
))
responses = await asyncio.gather(*responses)
for idx, provider in enumerate(providers):
print(f"{provider.__name__}:", responses[idx])
print("Async Total:", asyncio.run(log_time_async(run_async)))
# Streaming support:
def run_stream():
for provider in providers:
print(f"{provider.__name__}: ", end="")
for response in log_time_yield(
provider.create_completion,
model=None,
messages=[{"role": "user", "content": "Hello"}],
):
print(response, end="")
print()
print("Stream Total:", log_time(run_stream))
# No streaming support:
def create_completion():
for provider in providers:
print(f"{provider.__name__}:", end=" ")
for response in log_time_yield(
g4f.Provider.Bard.create_completion,
model=None,
messages=[{"role": "user", "content": "Hello"}],
):
print(response, end="")
print()
print("No Stream Total:", log_time(create_completion))
for response in g4f.Provider.Hugchat.create_completion(
model=None,
messages=[{"role": "user", "content": "Hello, tell about you."}],
):
print("Hugchat:", response)
"""
OpenaiChat: Hello! How can I assist you today? 2.0 secs
Bard: Hello! How can I help you today? 3.44 secs
Bing: Hello, this is Bing. How can I help? 😊 4.14 secs
Async Total: 4.25 secs
OpenaiChat: Hello! How can I assist you today? 1.85 secs
Bard: Hello! How can I help you today? 3.38 secs
Bing: Hello, this is Bing. How can I help? 😊 6.14 secs
Stream Total: 11.37 secs
OpenaiChat: Hello! How can I help you today? 3.28 secs
Bard: Hello there! How can I help you today? 3.58 secs
Bing: Hello! How can I help you today? 3.28 secs
No Stream Total: 10.14 secs
"""