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author | H Lohaus <hlohaus@users.noreply.github.com> | 2024-02-09 08:51:49 +0100 |
---|---|---|
committer | GitHub <noreply@github.com> | 2024-02-09 08:51:49 +0100 |
commit | 1d6709dafc27f7ce64df235b20ad47e2d3486ab0 (patch) | |
tree | 59e40d1130f97d219aacc9de37f4d3f6f2bc3274 | |
parent | Merge pull request #1564 from hlohaus/gemini (diff) | |
parent | Fix Phind Provider / add generate_challenge (diff) | |
download | gpt4free-0.2.1.1.tar gpt4free-0.2.1.1.tar.gz gpt4free-0.2.1.1.tar.bz2 gpt4free-0.2.1.1.tar.lz gpt4free-0.2.1.1.tar.xz gpt4free-0.2.1.1.tar.zst gpt4free-0.2.1.1.zip |
-rw-r--r-- | README.md | 15 | ||||
-rw-r--r-- | g4f/Provider/Phind.py | 50 | ||||
-rw-r--r-- | g4f/Provider/needs_auth/OpenaiChat.py | 25 | ||||
-rw-r--r-- | g4f/models.py | 2 | ||||
-rw-r--r-- | setup.py | 2 |
5 files changed, 83 insertions, 11 deletions
@@ -358,6 +358,21 @@ response = g4f.ChatCompletion.create( # Displaying the response print(response) + +from g4f.image import ImageResponse + +# Get image links from response +for chunk in g4f.ChatCompletion.create( + model=g4f.models.default, # Using the default model + provider=g4f.Provider.OpenaiChat, # Specifying the provider as OpenaiChat + messages=[{"role": "user", "content": "Create images with dogs"}], + access_token="...", # Need a access token from a plus user + stream=True, + ignore_stream=True +): + if isinstance(chunk, ImageResponse): + print(chunk.images) # Print generated image links + print(chunk.alt) # Print used prompt for image generation ``` ##### Using Browser diff --git a/g4f/Provider/Phind.py b/g4f/Provider/Phind.py index e7156842..a7fdbeca 100644 --- a/g4f/Provider/Phind.py +++ b/g4f/Provider/Phind.py @@ -1,5 +1,6 @@ from __future__ import annotations +from urllib import parse from datetime import datetime from ..typing import AsyncResult, Messages @@ -55,9 +56,9 @@ class Phind(AsyncGeneratorProvider): "customLinks": [] }, "context": "\n".join([message["content"] for message in messages if message["role"] == "system"]), - "rewrittenQuestion": prompt, - "challenge": 0.21132115912208504 } + data["challenge"] = generate_challenge(data) + async with session.post(f"https://https.api.phind.com/infer/", headers=headers, json=data) as response: new_line = False async for line in response.iter_lines(): @@ -65,6 +66,8 @@ class Phind(AsyncGeneratorProvider): chunk = line[6:] if chunk.startswith(b'<PHIND_DONE/>'): break + if chunk.startswith(b'<PHIND_BACKEND_ERROR>'): + raise RuntimeError(f"Response: {chunk}") if chunk.startswith(b'<PHIND_WEBRESULTS>') or chunk.startswith(b'<PHIND_FOLLOWUP>'): pass elif chunk.startswith(b"<PHIND_METADATA>") or chunk.startswith(b"<PHIND_INDICATOR>"): @@ -78,3 +81,46 @@ class Phind(AsyncGeneratorProvider): new_line = False else: new_line = True + +def deterministic_stringify(obj): + def handle_value(value): + if isinstance(value, (dict, list)): + if isinstance(value, list): + return '[' + ','.join(sorted(map(handle_value, value))) + ']' + else: # It's a dict + return '{' + deterministic_stringify(value) + '}' + elif isinstance(value, bool): + return 'true' if value else 'false' + elif isinstance(value, (int, float)): + return format(value, '.8f').rstrip('0').rstrip('.') + elif isinstance(value, str): + return f'"{value}"' + else: + return 'null' + + items = sorted(obj.items(), key=lambda x: x[0]) + return ','.join([f'{k}:{handle_value(v)}' for k, v in items if handle_value(v) is not None]) + +def simple_hash(s): + d = 0 + for char in s: + if len(char) > 1 or ord(char) >= 256: + continue + d = ((d << 5) - d + ord(char[0])) & 0xFFFFFFFF + if d > 0x7FFFFFFF: # 2147483647 + d -= 0x100000000 # Subtract 2**32 + return d + +def generate_challenge(obj): + deterministic_str = deterministic_stringify(obj) + encoded_str = parse.quote(deterministic_str, safe='') + + c = simple_hash(encoded_str) + a = (9301 * c + 49297) + b = 233280 + + # If negativ, we need a special logic + if a < 0: + return ((a%b)-b)/b + else: + return a%b/b
\ No newline at end of file diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py index 32aee9fb..c122da46 100644 --- a/g4f/Provider/needs_auth/OpenaiChat.py +++ b/g4f/Provider/needs_auth/OpenaiChat.py @@ -342,26 +342,30 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): raise MissingAuthError(f'Missing "access_token"') cls._cookies = cookies - headers = {"Authorization": f"Bearer {access_token}"} + auth_headers = {"Authorization": f"Bearer {access_token}"} async with StreamSession( proxies={"https": proxy}, impersonate="chrome110", timeout=timeout, - cookies=dict([(name, value) for name, value in cookies.items() if name == "_puid"]) + headers={"Cookie": "; ".join(f"{k}={v}" for k, v in cookies.items())} ) as session: try: image_response = None if image: - image_response = await cls.upload_image(session, headers, image, kwargs.get("image_name")) + image_response = await cls.upload_image(session, auth_headers, image, kwargs.get("image_name")) except Exception as e: yield e end_turn = EndTurn() - model = cls.get_model(model or await cls.get_default_model(session, headers)) + model = cls.get_model(model or await cls.get_default_model(session, auth_headers)) model = "text-davinci-002-render-sha" if model == "gpt-3.5-turbo" else model while not end_turn.is_end: + arkose_token = await cls.get_arkose_token(session) data = { "action": action, - "arkose_token": await cls.get_arkose_token(session), + "arkose_token": arkose_token, + "conversation_mode": {"kind": "primary_assistant"}, + "force_paragen": False, + "force_rate_limit": False, "conversation_id": conversation_id, "parent_message_id": parent_id, "model": model, @@ -373,7 +377,11 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): async with session.post( f"{cls.url}/backend-api/conversation", json=data, - headers={"Accept": "text/event-stream", **headers} + headers={ + "Accept": "text/event-stream", + "OpenAI-Sentinel-Arkose-Token": arkose_token, + **auth_headers + } ) as response: if not response.ok: raise RuntimeError(f"Response {response.status_code}: {await response.text()}") @@ -439,7 +447,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): Returns: tuple[str, dict]: A tuple containing the access token and cookies. """ - with get_browser(proxy=proxy) as driver: + driver = get_browser(proxy=proxy) + try: driver.get(f"{cls.url}/") WebDriverWait(driver, timeout).until(EC.presence_of_element_located((By.ID, "prompt-textarea"))) access_token = driver.execute_script( @@ -451,6 +460,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin): "return accessToken;" ) return access_token, get_driver_cookies(driver) + finally: + driver.close() @classmethod async def get_arkose_token(cls, session: StreamSession) -> str: diff --git a/g4f/models.py b/g4f/models.py index dd8e175d..ed86024e 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -89,7 +89,7 @@ gpt_4 = Model( name = 'gpt-4', base_provider = 'openai', best_provider = RetryProvider([ - Bing, Phind, Liaobots, + Bing, Liaobots, ]) ) @@ -15,7 +15,7 @@ INSTALL_REQUIRE = [ EXTRA_REQUIRE = { 'all': [ - "curl_cffi>=0.5.10", + "curl_cffi>=0.6.0b9", "certifi", "async-property", # openai "py-arkose-generator", # openai |