Add OpenaiChat and Hugchat Provider

Add tests for providers with auth
Improve async support / 2x faster
Shared get_cookies by domain  function

testing/test_needs_auth.py

@@ -0,0 +1,95 @@
+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
+"""