mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-08-17 04:10:42 +03:00
ⲘrṨhส∂ow
GitHub
parent
b1dbf66587
commit
3982f39424
@ -5,9 +5,7 @@ async def log_time_async(method: callable, **kwargs):
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start = time()
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result = await method(**kwargs)
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secs = f"{round(time() - start, 2)} secs"
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if result:
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return " ".join([result, secs])
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return secs
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return " ".join([result, secs]) if result else secs
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def log_time_yield(method: callable, **kwargs):
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@ -20,6 +18,4 @@ def log_time(method: callable, **kwargs):
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start = time()
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result = method(**kwargs)
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secs = f"{round(time() - start, 2)} secs"
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if result:
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return " ".join([result, secs])
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return secs
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return " ".join([result, secs]) if result else secs
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@ -22,11 +22,11 @@ def test_provider(provider):
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return None
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = []
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for provider in __all__:
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if provider not in _:
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futures.append(executor.submit(test_provider, provider))
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futures = [
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executor.submit(test_provider, provider)
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for provider in __all__
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if provider not in _
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]
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for future in concurrent.futures.as_completed(futures):
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result = future.result()
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if result:
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if result := future.result():
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print(f'{result[1]} | {result[0]}')
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@ -8,8 +8,7 @@ sys.path.append(str(Path(__file__).parent.parent.parent))
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import g4f
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def read_code(text):
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match = re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text)
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if match:
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if match := re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text):
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return match.group("code")
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def input_command():
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@ -99,12 +98,11 @@ And replace "gpt-3.5-turbo" with `model`.
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print()
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response = "".join(response)
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code = read_code(response)
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if code:
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if code := read_code(response):
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with open(provider_path, "w") as file:
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file.write(code)
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print("Saved at:", provider_path)
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with open(f"g4f/Provider/__init__.py", "a") as file:
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with open("g4f/Provider/__init__.py", "a") as file:
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file.write(f"\nfrom .{name} import {name}")
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else:
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with open(provider_path, "r") as file:
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@ -8,8 +8,7 @@ sys.path.append(str(Path(__file__).parent.parent.parent))
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import g4f
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def read_code(text):
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match = re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text)
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if match:
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if match := re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text):
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return match.group("code")
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path = input("Path: ")
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@ -41,7 +40,6 @@ for chunk in g4f.ChatCompletion.create(
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print()
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response = "".join(response)
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code = read_code(response)
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if code:
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if code := read_code(response):
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with open(path, "w") as file:
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file.write(code)
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@ -52,7 +52,7 @@ async def test_async(provider: type[BaseProvider]):
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response = await provider.create_async(model=model, messages=messages)
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else:
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response = provider.create_completion(model=model, messages=messages, stream=False)
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return True if response else False
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return bool(response)
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except Exception as e:
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if logging:
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print(f"{provider.__name__}: {e.__class__.__name__}: {e}")
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@ -22,11 +22,9 @@ def get_model_info() -> dict[str, Any]:
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urls = [f"{url}/_next/{path}" for path in paths]
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scripts = [session.get(url).text for url in urls]
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models_regex = r'let .="\\n\\nHuman:\",r=(.+?),.='
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for script in scripts:
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models_regex = r'let .="\\n\\nHuman:\",r=(.+?),.='
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matches = re.findall(models_regex, script)
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if matches:
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if matches := re.findall(models_regex, script):
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models_str = matches[0]
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stop_sequences_regex = r"(?<=stopSequences:{value:\[)\D(?<!\])"
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models_str = re.sub(
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@ -24,9 +24,9 @@ class AItianhu(AsyncGeneratorProvider):
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if not cookies:
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cookies = get_cookies(domain_name='www.aitianhu.com')
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if not cookies:
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raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://www.aitianhu.com on chrome]")
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if not cookies:
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raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://www.aitianhu.com on chrome]")
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data = {
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"prompt": format_prompt(messages),
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"options": {},
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@ -35,7 +35,7 @@ class AItianhu(AsyncGeneratorProvider):
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"top_p": 1,
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**kwargs
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}
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headers = {
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'authority': 'www.aitianhu.com',
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'accept': 'application/json, text/plain, */*',
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@ -51,31 +51,31 @@ class AItianhu(AsyncGeneratorProvider):
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
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}
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async with StreamSession(headers=headers,
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cookies=cookies,
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timeout=timeout,
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proxies={"https": proxy},
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impersonate="chrome107", verify=False) as session:
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cookies=cookies,
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timeout=timeout,
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proxies={"https": proxy},
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impersonate="chrome107", verify=False) as session:
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async with session.post(f"{cls.url}/api/chat-process", json=data) as response:
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response.raise_for_status()
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async for line in response.iter_lines():
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if line == b"<script>":
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raise RuntimeError("Solve challenge and pass cookies")
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if b"platform's risk control" in line:
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raise RuntimeError("Platform's Risk Control")
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line = json.loads(line)
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if "detail" in line:
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content = line["detail"]["choices"][0]["delta"].get("content")
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if content:
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yield content
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else:
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if "detail" not in line:
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raise RuntimeError(f"Response: {line}")
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if content := line["detail"]["choices"][0]["delta"].get(
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"content"
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):
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yield content
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@classmethod
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@ -27,26 +27,26 @@ class AItianhuSpace(AsyncGeneratorProvider):
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if not model:
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model = "gpt-3.5-turbo"
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elif not model in domains:
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elif model not in domains:
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raise ValueError(f"Model are not supported: {model}")
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if not domain:
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chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
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rand = ''.join(random.choice(chars) for _ in range(6))
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domain = f"{rand}.{domains[model]}"
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if debug.logging:
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print(f"AItianhuSpace | using domain: {domain}")
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if not cookies:
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cookies = get_cookies('.aitianhu.space')
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if not cookies:
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raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://{domain} on chrome]")
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if not cookies:
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raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://{domain} on chrome]")
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url = f'https://{domain}'
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async with StreamSession(proxies={"https": proxy},
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cookies=cookies, timeout=timeout, impersonate="chrome110", verify=False) as session:
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cookies=cookies, timeout=timeout, impersonate="chrome110", verify=False) as session:
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data = {
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"prompt": format_prompt(messages),
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@ -71,8 +71,9 @@ class AItianhuSpace(AsyncGeneratorProvider):
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raise RuntimeError("Platform's Risk Control")
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line = json.loads(line)
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if "detail" in line:
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content = line["detail"]["choices"][0]["delta"].get("content")
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if content:
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if content := line["detail"]["choices"][0]["delta"].get(
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"content"
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):
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yield content
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elif "message" in line and "AI-4接口非常昂贵" in line["message"]:
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raise RuntimeError("Rate limit for GPT 4 reached")
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@ -20,8 +20,10 @@ class Aichat(AsyncProvider):
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cookies = get_cookies('chat-gpt.org') if not kwargs.get('cookies') else kwargs.get('cookies')
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if not cookies:
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raise RuntimeError(f"g4f.provider.Aichat requires cookies, [refresh https://chat-gpt.org on chrome]")
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raise RuntimeError(
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"g4f.provider.Aichat requires cookies, [refresh https://chat-gpt.org on chrome]"
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)
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headers = {
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'authority': 'chat-gpt.org',
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'accept': '*/*',
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@ -37,13 +39,13 @@ class Aichat(AsyncProvider):
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
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}
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async with StreamSession(headers=headers,
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cookies=cookies,
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timeout=6,
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proxies={"https": proxy} if proxy else None,
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impersonate="chrome110", verify=False) as session:
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json_data = {
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"message": format_prompt(messages),
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"temperature": kwargs.get('temperature', 0.5),
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@ -51,14 +53,14 @@ class Aichat(AsyncProvider):
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"top_p": kwargs.get('top_p', 1),
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"frequency_penalty": 0,
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}
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async with session.post("https://chat-gpt.org/api/text",
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json=json_data) as response:
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response.raise_for_status()
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result = await response.json()
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if not result['response']:
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raise Exception(f"Error Response: {result}")
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return result["message"]
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@ -44,8 +44,8 @@ class Ails(AsyncGeneratorProvider):
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"from-url": "https://ai.ls/?chat=1"
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}
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async with ClientSession(
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headers=headers
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) as session:
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headers=headers
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) as session:
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timestamp = _format_timestamp(int(time.time() * 1000))
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json_data = {
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"model": "gpt-3.5-turbo",
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@ -57,10 +57,10 @@ class Ails(AsyncGeneratorProvider):
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"s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
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}
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async with session.post(
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"https://api.caipacity.com/v1/chat/completions",
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proxy=proxy,
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json=json_data
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) as response:
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"https://api.caipacity.com/v1/chat/completions",
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proxy=proxy,
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json=json_data
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) as response:
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response.raise_for_status()
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start = "data: "
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async for line in response.content:
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@ -68,10 +68,9 @@ class Ails(AsyncGeneratorProvider):
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if line.startswith(start) and line != "data: [DONE]":
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line = line[len(start):-1]
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line = json.loads(line)
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token = line["choices"][0]["delta"].get("content")
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if token:
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if token := line["choices"][0]["delta"].get("content"):
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if "ai.ls" in token or "ai.ci" in token:
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raise Exception("Response Error: " + token)
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raise Exception(f"Response Error: {token}")
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yield token
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@ -89,12 +88,7 @@ class Ails(AsyncGeneratorProvider):
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def _hash(json_data: dict[str, str]) -> SHA256:
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base_string: str = "%s:%s:%s:%s" % (
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json_data["t"],
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json_data["m"],
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"WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
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len(json_data["m"]),
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)
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base_string: str = f'{json_data["t"]}:{json_data["m"]}:WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf:{len(json_data["m"])}'
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return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
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@ -56,9 +56,10 @@ class Bing(AsyncGeneratorProvider):
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return stream_generate(prompt, tone, image, context, proxy, cookies)
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def create_context(messages: Messages):
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context = "".join(f"[{message['role']}](#message)\n{message['content']}\n\n" for message in messages)
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return context
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return "".join(
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f"[{message['role']}](#message)\n{message['content']}\n\n"
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for message in messages
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)
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class Conversation():
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def __init__(self, conversationId: str, clientId: str, conversationSignature: str, imageInfo: dict=None) -> None:
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@ -71,7 +72,7 @@ async def create_conversation(session: ClientSession, tone: str, image: str = No
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url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1199.4'
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async with await session.get(url, proxy=proxy) as response:
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data = await response.json()
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conversationId = data.get('conversationId')
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clientId = data.get('clientId')
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conversationSignature = response.headers.get('X-Sydney-Encryptedconversationsignature')
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@ -110,30 +111,30 @@ async def create_conversation(session: ClientSession, tone: str, image: str = No
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new_img_binary_data = compress_image_to_base64(new_img, compression_rate)
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data, boundary = build_image_upload_api_payload(new_img_binary_data, conversation, tone)
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headers = session.headers.copy()
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headers["content-type"] = 'multipart/form-data; boundary=' + boundary
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headers["content-type"] = f'multipart/form-data; boundary={boundary}'
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headers["referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx'
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headers["origin"] = 'https://www.bing.com'
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async with await session.post("https://www.bing.com/images/kblob", data=data, headers=headers, proxy=proxy) as image_upload_response:
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if image_upload_response.status == 200:
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image_info = await image_upload_response.json()
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result = {}
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if image_info.get('blobId'):
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result['bcid'] = image_info.get('blobId', "")
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result['blurredBcid'] = image_info.get('processedBlobId', "")
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if result['blurredBcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid']
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elif result['bcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['bcid']
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if config['visualSearch']["enableFaceBlurDebug"]:
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result['originalImageUrl'] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid']
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else:
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result['originalImageUrl'] = "https://www.bing.com/images/blob?bcid=" + result['bcid']
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conversation.imageInfo = result
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else:
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raise Exception("Failed to parse image info.")
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else:
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if image_upload_response.status != 200:
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raise Exception("Failed to upload image.")
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image_info = await image_upload_response.json()
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if not image_info.get('blobId'):
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raise Exception("Failed to parse image info.")
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result = {'bcid': image_info.get('blobId', "")}
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result['blurredBcid'] = image_info.get('processedBlobId', "")
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if result['blurredBcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid']
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elif result['bcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['bcid']
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result['originalImageUrl'] = (
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"https://www.bing.com/images/blob?bcid="
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+ result['blurredBcid']
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if config['visualSearch']["enableFaceBlurDebug"]
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else "https://www.bing.com/images/blob?bcid="
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+ result['bcid']
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)
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conversation.imageInfo = result
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except Exception as e:
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print(f"An error happened while trying to send image: {str(e)}")
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return conversation
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@ -282,7 +283,18 @@ def build_image_upload_api_payload(image_bin: str, conversation: Conversation, t
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'knowledgeRequest': payload
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}
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boundary="----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16))
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data = '--' + boundary + '\r\nContent-Disposition: form-data; name="knowledgeRequest"\r\n\r\n' + json.dumps(knowledge_request,ensure_ascii=False) + "\r\n--" + boundary + '\r\nContent-Disposition: form-data; name="imageBase64"\r\n\r\n' + image_bin + "\r\n--" + boundary + "--\r\n"
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data = (
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f'--{boundary}'
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+ '\r\nContent-Disposition: form-data; name="knowledgeRequest"\r\n\r\n'
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+ json.dumps(knowledge_request, ensure_ascii=False)
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+ "\r\n--"
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+ boundary
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+ '\r\nContent-Disposition: form-data; name="imageBase64"\r\n\r\n'
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+ image_bin
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+ "\r\n--"
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+ boundary
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+ "--\r\n"
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)
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return data, boundary
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def is_data_uri_an_image(data_uri):
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@ -329,7 +341,7 @@ def extract_data_uri(data_uri):
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def get_orientation(data: bytes):
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try:
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if data[0:2] != b'\xFF\xD8':
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if data[:2] != b'\xFF\xD8':
|
||||
raise Exception('NotJpeg')
|
||||
with Image.open(data) as img:
|
||||
exif_data = img._getexif()
|
||||
@ -347,11 +359,11 @@ def process_image(orientation, img, new_width, new_height):
|
||||
if orientation:
|
||||
if orientation > 4:
|
||||
img = img.transpose(Image.FLIP_LEFT_RIGHT)
|
||||
if orientation == 3 or orientation == 4:
|
||||
if orientation in [3, 4]:
|
||||
img = img.transpose(Image.ROTATE_180)
|
||||
if orientation == 5 or orientation == 6:
|
||||
if orientation in [5, 6]:
|
||||
img = img.transpose(Image.ROTATE_270)
|
||||
if orientation == 7 or orientation == 8:
|
||||
if orientation in [7, 8]:
|
||||
img = img.transpose(Image.ROTATE_90)
|
||||
new_img.paste(img, (0, 0))
|
||||
return new_img
|
||||
@ -362,8 +374,7 @@ def compress_image_to_base64(img, compression_rate):
|
||||
try:
|
||||
output_buffer = io.BytesIO()
|
||||
img.save(output_buffer, format="JPEG", quality=int(compression_rate * 100))
|
||||
base64_image = base64.b64encode(output_buffer.getvalue()).decode('utf-8')
|
||||
return base64_image
|
||||
return base64.b64encode(output_buffer.getvalue()).decode('utf-8')
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
@ -425,19 +436,14 @@ async def stream_generate(
|
||||
cookies: dict = None
|
||||
):
|
||||
async with ClientSession(
|
||||
timeout=ClientTimeout(total=900),
|
||||
cookies=cookies,
|
||||
headers=Defaults.headers,
|
||||
) as session:
|
||||
timeout=ClientTimeout(total=900),
|
||||
cookies=cookies,
|
||||
headers=Defaults.headers,
|
||||
) as session:
|
||||
conversation = await create_conversation(session, tone, image, proxy)
|
||||
try:
|
||||
async with session.ws_connect(
|
||||
f'wss://sydney.bing.com/sydney/ChatHub',
|
||||
autoping=False,
|
||||
params={'sec_access_token': conversation.conversationSignature},
|
||||
proxy=proxy
|
||||
) as wss:
|
||||
|
||||
async with session.ws_connect('wss://sydney.bing.com/sydney/ChatHub', autoping=False, params={'sec_access_token': conversation.conversationSignature}, proxy=proxy) as wss:
|
||||
|
||||
await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
|
||||
await wss.receive(timeout=900)
|
||||
await wss.send_str(create_message(conversation, prompt, tone, context))
|
||||
@ -451,7 +457,7 @@ async def stream_generate(
|
||||
for obj in objects:
|
||||
if obj is None or not obj:
|
||||
continue
|
||||
|
||||
|
||||
response = json.loads(obj)
|
||||
if response.get('type') == 1 and response['arguments'][0].get('messages'):
|
||||
message = response['arguments'][0]['messages'][0]
|
||||
|
||||
@ -20,16 +20,16 @@ class ChatBase(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
chat_id = 'z2c2HSfKnCTh5J4650V0I'
|
||||
|
||||
|
||||
headers = {
|
||||
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept" : "*/*",
|
||||
"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",
|
||||
"Origin" : cls.url,
|
||||
"Referer" : cls.url + "/",
|
||||
"Sec-Fetch-Dest" : "empty",
|
||||
"Sec-Fetch-Mode" : "cors",
|
||||
"Sec-Fetch-Site" : "same-origin",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept": "*/*",
|
||||
"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",
|
||||
"Origin": cls.url,
|
||||
"Referer": f"{cls.url}/",
|
||||
"Sec-Fetch-Dest": "empty",
|
||||
"Sec-Fetch-Mode": "cors",
|
||||
"Sec-Fetch-Site": "same-origin",
|
||||
}
|
||||
async with ClientSession(headers=headers) as session:
|
||||
data = {
|
||||
@ -38,7 +38,7 @@ class ChatBase(AsyncGeneratorProvider):
|
||||
"chatId": chat_id,
|
||||
"conversationId": f"kcXpqEnqUie3dnJlsRi_O-{chat_id}"
|
||||
}
|
||||
|
||||
|
||||
async with session.post("https://www.chatbase.co/api/fe/chat", json=data, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
async for stream in response.content.iter_any():
|
||||
|
||||
@ -31,8 +31,8 @@ class Chatgpt4Online(AsyncGeneratorProvider):
|
||||
"newMessage": messages[-1]["content"],
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with session.post(cls.url + "/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
|
||||
|
||||
async with session.post(f"{cls.url}/wp-json/mwai-ui/v1/chats/submit", json=data, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
async for line in response.content:
|
||||
if line.startswith(b"data: "):
|
||||
|
||||
@ -38,18 +38,17 @@ class ChatgptAi(AsyncGeneratorProvider):
|
||||
"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
|
||||
}
|
||||
async with ClientSession(
|
||||
headers=headers
|
||||
) as session:
|
||||
headers=headers
|
||||
) as session:
|
||||
if not cls._system:
|
||||
async with session.get(cls.url, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
text = await response.text()
|
||||
result = re.search(r"data-system='(.*?)'", text)
|
||||
if result:
|
||||
if result := re.search(r"data-system='(.*?)'", text):
|
||||
cls._system = json.loads(html.unescape(result.group(1)))
|
||||
if not cls._system:
|
||||
raise RuntimeError("System args not found")
|
||||
|
||||
if not cls._system:
|
||||
raise RuntimeError("System args not found")
|
||||
|
||||
data = {
|
||||
"botId": cls._system["botId"],
|
||||
"customId": cls._system["customId"],
|
||||
|
||||
@ -37,10 +37,13 @@ class ChatgptDemo(AsyncGeneratorProvider):
|
||||
async with session.get(f"{cls.url}/", proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
response = await response.text()
|
||||
result = re.search(r'<div id="USERID" style="display: none">(.*?)<\/div>', response)
|
||||
if not result:
|
||||
if result := re.search(
|
||||
r'<div id="USERID" style="display: none">(.*?)<\/div>',
|
||||
response,
|
||||
):
|
||||
user_id = result.group(1)
|
||||
else:
|
||||
raise RuntimeError("No user id found")
|
||||
user_id = result.group(1)
|
||||
async with session.post(f"{cls.url}/new_chat", json={"user_id": user_id}, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
chat_id = (await response.json())["id_"]
|
||||
@ -56,6 +59,5 @@ class ChatgptDemo(AsyncGeneratorProvider):
|
||||
async for line in response.content:
|
||||
if line.startswith(b"data: "):
|
||||
line = json.loads(line[6:-1])
|
||||
chunk = line["choices"][0]["delta"].get("content")
|
||||
if chunk:
|
||||
if chunk := line["choices"][0]["delta"].get("content"):
|
||||
yield chunk
|
||||
@ -31,8 +31,8 @@ class ChatgptFree(AsyncProvider):
|
||||
|
||||
if not cookies:
|
||||
cookies = get_cookies('chatgptfree.ai')
|
||||
if not cookies:
|
||||
raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://chatgptfree.ai on chrome]")
|
||||
if not cookies:
|
||||
raise RuntimeError(f"g4f.provider.{cls.__name__} requires cookies [refresh https://chatgptfree.ai on chrome]")
|
||||
|
||||
headers = {
|
||||
'authority': 'chatgptfree.ai',
|
||||
@ -48,14 +48,14 @@ class ChatgptFree(AsyncProvider):
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
|
||||
async with StreamSession(
|
||||
headers=headers,
|
||||
cookies=cookies,
|
||||
impersonate="chrome107",
|
||||
proxies={"https": proxy},
|
||||
timeout=timeout
|
||||
) as session:
|
||||
headers=headers,
|
||||
cookies=cookies,
|
||||
impersonate="chrome107",
|
||||
proxies={"https": proxy},
|
||||
timeout=timeout
|
||||
) as session:
|
||||
|
||||
if not cls._nonce:
|
||||
async with session.get(f"{cls.url}/") as response:
|
||||
@ -67,13 +67,13 @@ class ChatgptFree(AsyncProvider):
|
||||
if not result:
|
||||
raise RuntimeError("No post id found")
|
||||
cls._post_id = result.group(1)
|
||||
|
||||
result = re.search(r'data-nonce="(.*?)"', response)
|
||||
if not result:
|
||||
|
||||
if result := re.search(r'data-nonce="(.*?)"', response):
|
||||
cls._nonce = result.group(1)
|
||||
|
||||
else:
|
||||
raise RuntimeError("No nonce found")
|
||||
|
||||
cls._nonce = result.group(1)
|
||||
|
||||
|
||||
prompt = format_prompt(messages)
|
||||
data = {
|
||||
"_wpnonce": cls._nonce,
|
||||
@ -83,8 +83,7 @@ class ChatgptFree(AsyncProvider):
|
||||
"message": prompt,
|
||||
"bot_id": "0"
|
||||
}
|
||||
async with session.post(cls.url + "/wp-admin/admin-ajax.php",
|
||||
data=data, cookies=cookies) as response:
|
||||
|
||||
async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, cookies=cookies) as response:
|
||||
|
||||
response.raise_for_status()
|
||||
return (await response.json())["data"]
|
||||
@ -45,10 +45,13 @@ class ChatgptLogin(AsyncGeneratorProvider):
|
||||
async with session.get(f"{cls.url}/chat/", proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
response = await response.text()
|
||||
result = re.search(r'<div id="USERID" style="display: none">(.*?)<\/div>', response)
|
||||
if not result:
|
||||
if result := re.search(
|
||||
r'<div id="USERID" style="display: none">(.*?)<\/div>',
|
||||
response,
|
||||
):
|
||||
cls._user_id = result.group(1)
|
||||
else:
|
||||
raise RuntimeError("No user id found")
|
||||
cls._user_id = result.group(1)
|
||||
async with session.post(f"{cls.url}/chat/new_chat", json={"user_id": cls._user_id}, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
chat_id = (await response.json())["id_"]
|
||||
@ -64,8 +67,9 @@ class ChatgptLogin(AsyncGeneratorProvider):
|
||||
response.raise_for_status()
|
||||
async for line in response.content:
|
||||
if line.startswith(b"data: "):
|
||||
content = json.loads(line[6:])["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := json.loads(line[6:])["choices"][0][
|
||||
"delta"
|
||||
].get("content"):
|
||||
yield content
|
||||
async with session.post(f"{cls.url}/chat/delete_chat", json={"chat_id": chat_id}, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
@ -35,14 +35,15 @@ class ChatgptX(AsyncGeneratorProvider):
|
||||
async with ClientSession(headers=headers) as session:
|
||||
async with session.get(f"{cls.url}/", proxy=proxy) as response:
|
||||
response = await response.text()
|
||||
result = re.search(r'<meta name="csrf-token" content="(.*?)"', response)
|
||||
if result:
|
||||
if result := re.search(
|
||||
r'<meta name="csrf-token" content="(.*?)"', response
|
||||
):
|
||||
csrf_token = result.group(1)
|
||||
result = re.search(r"openconversions\('(.*?)'\)", response)
|
||||
if result:
|
||||
if result := re.search(r"openconversions\('(.*?)'\)", response):
|
||||
chat_id = result.group(1)
|
||||
result = re.search(r'<input type="hidden" id="user_id" value="(.*?)"', response)
|
||||
if result:
|
||||
if result := re.search(
|
||||
r'<input type="hidden" id="user_id" value="(.*?)"', response
|
||||
):
|
||||
user_id = result.group(1)
|
||||
|
||||
if not csrf_token or not chat_id or not user_id:
|
||||
@ -63,7 +64,7 @@ class ChatgptX(AsyncGeneratorProvider):
|
||||
'x-csrf-token': csrf_token,
|
||||
'x-requested-with': 'XMLHttpRequest'
|
||||
}
|
||||
async with session.post(cls.url + '/sendchat', data=data, headers=headers, proxy=proxy) as response:
|
||||
async with session.post(f'{cls.url}/sendchat', data=data, headers=headers, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
chat = await response.json()
|
||||
if "response" not in chat or not chat["response"]:
|
||||
|
||||
@ -49,7 +49,7 @@ class GPTalk(AsyncGeneratorProvider):
|
||||
"fingerprint": secrets.token_hex(16).zfill(32),
|
||||
"platform": "fingerprint"
|
||||
}
|
||||
async with session.post(cls.url + "/api/chatgpt/user/login", json=data, proxy=proxy) as response:
|
||||
async with session.post(f"{cls.url}/api/chatgpt/user/login", json=data, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
cls._auth = (await response.json())["data"]
|
||||
data = {
|
||||
@ -69,11 +69,11 @@ class GPTalk(AsyncGeneratorProvider):
|
||||
headers = {
|
||||
'authorization': f'Bearer {cls._auth["token"]}',
|
||||
}
|
||||
async with session.post(cls.url + "/api/chatgpt/chatapi/text", json=data, headers=headers, proxy=proxy) as response:
|
||||
async with session.post(f"{cls.url}/api/chatgpt/chatapi/text", json=data, headers=headers, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
token = (await response.json())["data"]["token"]
|
||||
last_message = ""
|
||||
async with session.get(cls.url + "/api/chatgpt/chatapi/stream", params={"token": token}, proxy=proxy) as response:
|
||||
async with session.get(f"{cls.url}/api/chatgpt/chatapi/stream", params={"token": token}, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
async for line in response.content:
|
||||
if line.startswith(b"data: "):
|
||||
|
||||
@ -23,13 +23,15 @@ class GptChatly(AsyncProvider):
|
||||
|
||||
cookies = get_cookies('gptchatly.com') if not cookies else cookies
|
||||
if not cookies:
|
||||
raise RuntimeError(f"g4f.provider.GptChatly requires cookies, [refresh https://gptchatly.com on chrome]")
|
||||
|
||||
raise RuntimeError(
|
||||
"g4f.provider.GptChatly requires cookies, [refresh https://gptchatly.com on chrome]"
|
||||
)
|
||||
|
||||
if model.startswith("gpt-4"):
|
||||
chat_url = f"{cls.url}/fetch-gpt4-response"
|
||||
else:
|
||||
chat_url = f"{cls.url}/fetch-response"
|
||||
|
||||
|
||||
headers = {
|
||||
'authority': 'gptchatly.com',
|
||||
'accept': '*/*',
|
||||
@ -45,7 +47,7 @@ class GptChatly(AsyncProvider):
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
|
||||
async with StreamSession(headers=headers,
|
||||
proxies={"https": proxy}, cookies=cookies, impersonate='chrome110') as session:
|
||||
data = {
|
||||
|
||||
@ -55,8 +55,9 @@ class GptForLove(AsyncGeneratorProvider):
|
||||
except:
|
||||
raise RuntimeError(f"Broken line: {line}")
|
||||
if "detail" in line:
|
||||
content = line["detail"]["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := line["detail"]["choices"][0]["delta"].get(
|
||||
"content"
|
||||
):
|
||||
yield content
|
||||
elif "10分钟内提问超过了5次" in line:
|
||||
raise RuntimeError("Rate limit reached")
|
||||
@ -66,7 +67,7 @@ class GptForLove(AsyncGeneratorProvider):
|
||||
|
||||
def get_secret() -> str:
|
||||
dir = os.path.dirname(__file__)
|
||||
include = dir + '/npm/node_modules/crypto-js/crypto-js'
|
||||
include = f'{dir}/npm/node_modules/crypto-js/crypto-js'
|
||||
source = """
|
||||
CryptoJS = require({include})
|
||||
var k = '14487141bvirvvG'
|
||||
|
||||
@ -21,18 +21,18 @@ class GptGo(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
headers = {
|
||||
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept" : "*/*",
|
||||
"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",
|
||||
"Origin" : cls.url,
|
||||
"Referer" : cls.url + "/",
|
||||
"Sec-Fetch-Dest" : "empty",
|
||||
"Sec-Fetch-Mode" : "cors",
|
||||
"Sec-Fetch-Site" : "same-origin",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept": "*/*",
|
||||
"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",
|
||||
"Origin": cls.url,
|
||||
"Referer": f"{cls.url}/",
|
||||
"Sec-Fetch-Dest": "empty",
|
||||
"Sec-Fetch-Mode": "cors",
|
||||
"Sec-Fetch-Site": "same-origin",
|
||||
}
|
||||
async with ClientSession(
|
||||
headers=headers
|
||||
) as session:
|
||||
headers=headers
|
||||
) as session:
|
||||
async with session.get(
|
||||
"https://gptgo.ai/action_get_token.php",
|
||||
params={
|
||||
@ -46,12 +46,12 @@ class GptGo(AsyncGeneratorProvider):
|
||||
token = (await response.json(content_type=None))["token"]
|
||||
|
||||
async with session.get(
|
||||
"https://gptgo.ai/action_ai_gpt.php",
|
||||
params={
|
||||
"token": token,
|
||||
},
|
||||
proxy=proxy
|
||||
) as response:
|
||||
"https://gptgo.ai/action_ai_gpt.php",
|
||||
params={
|
||||
"token": token,
|
||||
},
|
||||
proxy=proxy
|
||||
) as response:
|
||||
response.raise_for_status()
|
||||
start = "data: "
|
||||
async for line in response.content:
|
||||
@ -62,8 +62,7 @@ class GptGo(AsyncGeneratorProvider):
|
||||
line = json.loads(line[len(start):-1])
|
||||
if line["choices"][0]["finish_reason"] == "stop":
|
||||
break
|
||||
content = line["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := line["choices"][0]["delta"].get("content"):
|
||||
yield content
|
||||
|
||||
|
||||
|
||||
@ -33,7 +33,7 @@ class GptGod(AsyncGeneratorProvider):
|
||||
"Pragma": "no-cache",
|
||||
"Cache-Control": "no-cache",
|
||||
}
|
||||
|
||||
|
||||
async with ClientSession(headers=headers) as session:
|
||||
prompt = format_prompt(messages)
|
||||
data = {
|
||||
@ -45,12 +45,11 @@ class GptGod(AsyncGeneratorProvider):
|
||||
event = None
|
||||
async for line in response.content:
|
||||
print(line)
|
||||
|
||||
|
||||
if line.startswith(b'event: '):
|
||||
event = line[7:-1]
|
||||
elif event == b"data" and line.startswith(b"data: "):
|
||||
data = json.loads(line[6:-1])
|
||||
if data:
|
||||
if data := json.loads(line[6:-1]):
|
||||
yield data
|
||||
elif event == b"done":
|
||||
break
|
||||
@ -49,7 +49,7 @@ class Liaobots(AsyncGeneratorProvider):
|
||||
"authority": "liaobots.com",
|
||||
"content-type": "application/json",
|
||||
"origin": cls.url,
|
||||
"referer": cls.url + "/",
|
||||
"referer": f"{cls.url}/",
|
||||
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
|
||||
}
|
||||
async with ClientSession(
|
||||
|
||||
@ -24,30 +24,27 @@ class Vercel(BaseProvider):
|
||||
|
||||
if not model:
|
||||
model = "gpt-3.5-turbo"
|
||||
|
||||
|
||||
elif model not in model_info:
|
||||
raise ValueError(f"Vercel does not support {model}")
|
||||
|
||||
|
||||
headers = {
|
||||
'authority' : 'sdk.vercel.ai',
|
||||
'accept' : '*/*',
|
||||
'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',
|
||||
'content-type' : 'application/json',
|
||||
'custom-encoding' : get_anti_bot_token(),
|
||||
'origin' : 'https://sdk.vercel.ai',
|
||||
'pragma' : 'no-cache',
|
||||
'referer' : 'https://sdk.vercel.ai/',
|
||||
'sec-ch-ua' : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
|
||||
'sec-ch-ua-mobile' : '?0',
|
||||
'authority': 'sdk.vercel.ai',
|
||||
'accept': '*/*',
|
||||
'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',
|
||||
'content-type': 'application/json',
|
||||
'custom-encoding': get_anti_bot_token(),
|
||||
'origin': 'https://sdk.vercel.ai',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://sdk.vercel.ai/',
|
||||
'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest' : 'empty',
|
||||
'sec-fetch-mode' : 'cors',
|
||||
'sec-fetch-site' : 'same-origin',
|
||||
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.%s.%s Safari/537.36' % (
|
||||
random.randint(99, 999),
|
||||
random.randint(99, 999)
|
||||
)
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
|
||||
}
|
||||
|
||||
json_data = {
|
||||
@ -60,7 +57,7 @@ class Vercel(BaseProvider):
|
||||
}
|
||||
|
||||
max_retries = kwargs.get('max_retries', 20)
|
||||
for i in range(max_retries):
|
||||
for _ in range(max_retries):
|
||||
response = requests.post('https://sdk.vercel.ai/api/generate',
|
||||
headers=headers, json=json_data, stream=True, proxies={"https": proxy})
|
||||
try:
|
||||
@ -74,22 +71,19 @@ class Vercel(BaseProvider):
|
||||
|
||||
def get_anti_bot_token() -> str:
|
||||
headers = {
|
||||
'authority' : 'sdk.vercel.ai',
|
||||
'accept' : '*/*',
|
||||
'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',
|
||||
'pragma' : 'no-cache',
|
||||
'referer' : 'https://sdk.vercel.ai/',
|
||||
'sec-ch-ua' : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
|
||||
'sec-ch-ua-mobile' : '?0',
|
||||
'authority': 'sdk.vercel.ai',
|
||||
'accept': '*/*',
|
||||
'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',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://sdk.vercel.ai/',
|
||||
'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"macOS"',
|
||||
'sec-fetch-dest' : 'empty',
|
||||
'sec-fetch-mode' : 'cors',
|
||||
'sec-fetch-site' : 'same-origin',
|
||||
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.%s.%s Safari/537.36' % (
|
||||
random.randint(99, 999),
|
||||
random.randint(99, 999)
|
||||
)
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
|
||||
}
|
||||
|
||||
response = requests.get('https://sdk.vercel.ai/openai.jpeg',
|
||||
|
||||
@ -23,10 +23,7 @@ class Ylokh(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
model = model if model else "gpt-3.5-turbo"
|
||||
headers = {
|
||||
"Origin" : cls.url,
|
||||
"Referer": cls.url + "/",
|
||||
}
|
||||
headers = {"Origin": cls.url, "Referer": f"{cls.url}/"}
|
||||
data = {
|
||||
"messages": messages,
|
||||
"model": model,
|
||||
@ -39,10 +36,10 @@ class Ylokh(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
}
|
||||
async with StreamSession(
|
||||
headers=headers,
|
||||
proxies={"https": proxy},
|
||||
timeout=timeout
|
||||
) as session:
|
||||
headers=headers,
|
||||
proxies={"https": proxy},
|
||||
timeout=timeout
|
||||
) as session:
|
||||
async with session.post("https://chatapi.ylokh.xyz/v1/chat/completions", json=data) as response:
|
||||
response.raise_for_status()
|
||||
if stream:
|
||||
@ -52,8 +49,9 @@ class Ylokh(AsyncGeneratorProvider):
|
||||
if line.startswith("data: [DONE]"):
|
||||
break
|
||||
line = json.loads(line[6:])
|
||||
content = line["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := line["choices"][0]["delta"].get(
|
||||
"content"
|
||||
):
|
||||
yield content
|
||||
else:
|
||||
chat = await response.json()
|
||||
|
||||
@ -18,9 +18,12 @@ class AiService(BaseProvider):
|
||||
stream: bool,
|
||||
**kwargs: Any,
|
||||
) -> CreateResult:
|
||||
base = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
|
||||
base += "\nassistant: "
|
||||
|
||||
base = (
|
||||
"\n".join(
|
||||
f"{message['role']}: {message['content']}" for message in messages
|
||||
)
|
||||
+ "\nassistant: "
|
||||
)
|
||||
headers = {
|
||||
"accept": "*/*",
|
||||
"content-type": "text/plain;charset=UTF-8",
|
||||
|
||||
@ -20,18 +20,18 @@ class CodeLinkAva(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncGenerator:
|
||||
headers = {
|
||||
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept" : "*/*",
|
||||
"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",
|
||||
"Origin" : cls.url,
|
||||
"Referer" : cls.url + "/",
|
||||
"Sec-Fetch-Dest" : "empty",
|
||||
"Sec-Fetch-Mode" : "cors",
|
||||
"Sec-Fetch-Site" : "same-origin",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept": "*/*",
|
||||
"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",
|
||||
"Origin": cls.url,
|
||||
"Referer": f"{cls.url}/",
|
||||
"Sec-Fetch-Dest": "empty",
|
||||
"Sec-Fetch-Mode": "cors",
|
||||
"Sec-Fetch-Site": "same-origin",
|
||||
}
|
||||
async with ClientSession(
|
||||
headers=headers
|
||||
) as session:
|
||||
headers=headers
|
||||
) as session:
|
||||
data = {
|
||||
"messages": messages,
|
||||
"temperature": 0.6,
|
||||
@ -46,8 +46,7 @@ class CodeLinkAva(AsyncGeneratorProvider):
|
||||
if line.startswith("data: [DONE]"):
|
||||
break
|
||||
line = json.loads(line[6:-1])
|
||||
content = line["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := line["choices"][0]["delta"].get("content"):
|
||||
yield content
|
||||
|
||||
|
||||
|
||||
@ -30,7 +30,7 @@ class EasyChat(BaseProvider):
|
||||
"https://chat4.fastgpt.me",
|
||||
"https://gxos1h1ddt.fastgpt.me"
|
||||
]
|
||||
|
||||
|
||||
server = active_servers[kwargs.get("active_server", random.randint(0, 5))]
|
||||
headers = {
|
||||
"authority" : f"{server}".replace("https://", ""),
|
||||
@ -68,30 +68,26 @@ class EasyChat(BaseProvider):
|
||||
|
||||
response = session.post(f"{server}/api/openai/v1/chat/completions",
|
||||
headers=headers, json=json_data, stream=stream)
|
||||
|
||||
if response.status_code == 200:
|
||||
|
||||
if stream == False:
|
||||
json_data = response.json()
|
||||
|
||||
if "choices" in json_data:
|
||||
yield json_data["choices"][0]["message"]["content"]
|
||||
else:
|
||||
raise Exception("No response from server")
|
||||
|
||||
else:
|
||||
|
||||
for chunk in response.iter_lines():
|
||||
|
||||
if b"content" in chunk:
|
||||
splitData = chunk.decode().split("data:")
|
||||
|
||||
if len(splitData) > 1:
|
||||
yield json.loads(splitData[1])["choices"][0]["delta"]["content"]
|
||||
else:
|
||||
continue
|
||||
else:
|
||||
|
||||
if response.status_code != 200:
|
||||
raise Exception(f"Error {response.status_code} from server : {response.reason}")
|
||||
if not stream:
|
||||
json_data = response.json()
|
||||
|
||||
if "choices" in json_data:
|
||||
yield json_data["choices"][0]["message"]["content"]
|
||||
else:
|
||||
raise Exception("No response from server")
|
||||
|
||||
else:
|
||||
|
||||
for chunk in response.iter_lines():
|
||||
|
||||
if b"content" in chunk:
|
||||
splitData = chunk.decode().split("data:")
|
||||
|
||||
if len(splitData) > 1:
|
||||
yield json.loads(splitData[1])["choices"][0]["delta"]["content"]
|
||||
|
||||
|
||||
@classmethod
|
||||
|
||||
@ -56,18 +56,17 @@ class Equing(BaseProvider):
|
||||
|
||||
response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
|
||||
headers=headers, json=json_data, stream=stream)
|
||||
|
||||
|
||||
if not stream:
|
||||
yield response.json()["choices"][0]["message"]["content"]
|
||||
return
|
||||
|
||||
|
||||
for line in response.iter_content(chunk_size=1024):
|
||||
if line:
|
||||
if b'content' in line:
|
||||
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
|
||||
token = line_json['choices'][0]['delta'].get('content')
|
||||
if token:
|
||||
yield token
|
||||
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
|
||||
if token := line_json['choices'][0]['delta'].get('content'):
|
||||
yield token
|
||||
|
||||
@classmethod
|
||||
@property
|
||||
|
||||
@ -55,7 +55,7 @@ class FastGpt(BaseProvider):
|
||||
'frequency_penalty' : kwargs.get('frequency_penalty', 0),
|
||||
'top_p' : kwargs.get('top_p', 1),
|
||||
}
|
||||
|
||||
|
||||
subdomain = random.choice([
|
||||
'jdaen979ew',
|
||||
'chat9'
|
||||
@ -63,15 +63,16 @@ class FastGpt(BaseProvider):
|
||||
|
||||
response = requests.post(f'https://{subdomain}.fastgpt.me/api/openai/v1/chat/completions',
|
||||
headers=headers, json=json_data, stream=stream)
|
||||
|
||||
|
||||
for line in response.iter_lines():
|
||||
if line:
|
||||
try:
|
||||
if b'content' in line:
|
||||
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
|
||||
token = line_json['choices'][0]['delta'].get('content')
|
||||
if token:
|
||||
yield token
|
||||
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
|
||||
if token := line_json['choices'][0]['delta'].get(
|
||||
'content'
|
||||
):
|
||||
yield token
|
||||
except:
|
||||
continue
|
||||
|
||||
|
||||
@ -22,7 +22,7 @@ class H2o(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
model = model if model else cls.model
|
||||
headers = {"Referer": cls.url + "/"}
|
||||
headers = {"Referer": f"{cls.url}/"}
|
||||
|
||||
async with ClientSession(
|
||||
headers=headers
|
||||
|
||||
@ -33,7 +33,7 @@ class Lockchat(BaseProvider):
|
||||
}
|
||||
response = requests.post("http://supertest.lockchat.app/v1/chat/completions",
|
||||
json=payload, headers=headers, stream=True)
|
||||
|
||||
|
||||
response.raise_for_status()
|
||||
for token in response.iter_lines():
|
||||
if b"The model: `gpt-4` does not exist" in token:
|
||||
@ -44,11 +44,10 @@ class Lockchat(BaseProvider):
|
||||
stream = stream,
|
||||
temperature = temperature,
|
||||
**kwargs)
|
||||
|
||||
|
||||
if b"content" in token:
|
||||
token = json.loads(token.decode("utf-8").split("data: ")[1])
|
||||
token = token["choices"][0]["delta"].get("content")
|
||||
if token:
|
||||
if token := token["choices"][0]["delta"].get("content"):
|
||||
yield (token)
|
||||
|
||||
@classmethod
|
||||
|
||||
@ -21,9 +21,12 @@ class V50(BaseProvider):
|
||||
messages: list[dict[str, str]],
|
||||
stream: bool, **kwargs: Any) -> CreateResult:
|
||||
|
||||
conversation = "\n".join(f"{message['role']}: {message['content']}" for message in messages)
|
||||
conversation += "\nassistant: "
|
||||
|
||||
conversation = (
|
||||
"\n".join(
|
||||
f"{message['role']}: {message['content']}" for message in messages
|
||||
)
|
||||
+ "\nassistant: "
|
||||
)
|
||||
payload = {
|
||||
"prompt" : conversation,
|
||||
"options" : {},
|
||||
@ -33,7 +36,7 @@ class V50(BaseProvider):
|
||||
"model" : model,
|
||||
"user" : str(uuid.uuid4())
|
||||
}
|
||||
|
||||
|
||||
headers = {
|
||||
'authority' : 'p5.v50.ltd',
|
||||
'accept' : 'application/json, text/plain, */*',
|
||||
@ -47,9 +50,13 @@ class V50(BaseProvider):
|
||||
'sec-fetch-site' : 'same-origin',
|
||||
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36'
|
||||
}
|
||||
response = requests.post("https://p5.v50.ltd/api/chat-process",
|
||||
json=payload, headers=headers, proxies=kwargs['proxy'] if 'proxy' in kwargs else {})
|
||||
|
||||
response = requests.post(
|
||||
"https://p5.v50.ltd/api/chat-process",
|
||||
json=payload,
|
||||
headers=headers,
|
||||
proxies=kwargs.get('proxy', {}),
|
||||
)
|
||||
|
||||
if "https://fk1.v50.ltd" not in response.text:
|
||||
yield response.text
|
||||
|
||||
|
||||
@ -20,14 +20,14 @@ class Vitalentum(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
headers = {
|
||||
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept" : "text/event-stream",
|
||||
"Accept-language" : "de,en-US;q=0.7,en;q=0.3",
|
||||
"Origin" : cls.url,
|
||||
"Referer" : cls.url + "/",
|
||||
"Sec-Fetch-Dest" : "empty",
|
||||
"Sec-Fetch-Mode" : "cors",
|
||||
"Sec-Fetch-Site" : "same-origin",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
|
||||
"Accept": "text/event-stream",
|
||||
"Accept-language": "de,en-US;q=0.7,en;q=0.3",
|
||||
"Origin": cls.url,
|
||||
"Referer": f"{cls.url}/",
|
||||
"Sec-Fetch-Dest": "empty",
|
||||
"Sec-Fetch-Mode": "cors",
|
||||
"Sec-Fetch-Site": "same-origin",
|
||||
}
|
||||
conversation = json.dumps({"history": [{
|
||||
"speaker": "human" if message["role"] == "user" else "bot",
|
||||
@ -39,8 +39,8 @@ class Vitalentum(AsyncGeneratorProvider):
|
||||
**kwargs
|
||||
}
|
||||
async with ClientSession(
|
||||
headers=headers
|
||||
) as session:
|
||||
headers=headers
|
||||
) as session:
|
||||
async with session.post(f"{cls.url}/api/converse-edge", json=data, proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
async for line in response.content:
|
||||
@ -49,8 +49,7 @@ class Vitalentum(AsyncGeneratorProvider):
|
||||
if line.startswith("data: [DONE]"):
|
||||
break
|
||||
line = json.loads(line[6:-1])
|
||||
content = line["choices"][0]["delta"].get("content")
|
||||
if content:
|
||||
if content := line["choices"][0]["delta"].get("content"):
|
||||
yield content
|
||||
|
||||
|
||||
|
||||
@ -41,15 +41,20 @@ class Wuguokai(BaseProvider):
|
||||
"userId": f"#/chat/{random.randint(1,99999999)}",
|
||||
"usingContext": True
|
||||
}
|
||||
response = requests.post("https://ai-api20.wuguokai.xyz/api/chat-process", headers=headers, timeout=3, json=data, proxies=kwargs['proxy'] if 'proxy' in kwargs else {})
|
||||
response = requests.post(
|
||||
"https://ai-api20.wuguokai.xyz/api/chat-process",
|
||||
headers=headers,
|
||||
timeout=3,
|
||||
json=data,
|
||||
proxies=kwargs.get('proxy', {}),
|
||||
)
|
||||
_split = response.text.split("> 若回答失败请重试或多刷新几次界面后重试")
|
||||
if response.status_code == 200:
|
||||
if len(_split) > 1:
|
||||
yield _split[1].strip()
|
||||
else:
|
||||
yield _split[0].strip()
|
||||
else:
|
||||
if response.status_code != 200:
|
||||
raise Exception(f"Error: {response.status_code} {response.reason}")
|
||||
if len(_split) > 1:
|
||||
yield _split[1].strip()
|
||||
else:
|
||||
yield _split[0].strip()
|
||||
|
||||
@classmethod
|
||||
@property
|
||||
|
||||
@ -77,9 +77,8 @@ def get_cookies(domain_name=''):
|
||||
def g4f(domain_name):
|
||||
user_data_dir = user_config_dir("g4f")
|
||||
cookie_file = path.join(user_data_dir, "Default", "Cookies")
|
||||
if not path.exists(cookie_file):
|
||||
return []
|
||||
return chrome(cookie_file, domain_name)
|
||||
return [] if not path.exists(cookie_file) else chrome(cookie_file, domain_name)
|
||||
|
||||
cookies = {}
|
||||
for cookie_fn in [g4f, chrome, chromium, opera, opera_gx, brave, edge, vivaldi, firefox]:
|
||||
try:
|
||||
@ -96,16 +95,15 @@ def get_cookies(domain_name=''):
|
||||
|
||||
|
||||
def format_prompt(messages: Messages, add_special_tokens=False) -> str:
|
||||
if add_special_tokens or len(messages) > 1:
|
||||
formatted = "\n".join(
|
||||
[
|
||||
"%s: %s" % ((message["role"]).capitalize(), message["content"])
|
||||
for message in messages
|
||||
]
|
||||
)
|
||||
return f"{formatted}\nAssistant:"
|
||||
else:
|
||||
if not add_special_tokens and len(messages) <= 1:
|
||||
return messages[0]["content"]
|
||||
formatted = "\n".join(
|
||||
[
|
||||
f'{message["role"].capitalize()}: {message["content"]}'
|
||||
for message in messages
|
||||
]
|
||||
)
|
||||
return f"{formatted}\nAssistant:"
|
||||
|
||||
|
||||
def get_browser(user_data_dir: str = None):
|
||||
|
||||
@ -38,18 +38,18 @@ class Bard(AsyncProvider):
|
||||
'x-same-domain': '1',
|
||||
}
|
||||
async with ClientSession(
|
||||
cookies=cookies,
|
||||
headers=headers
|
||||
) as session:
|
||||
cookies=cookies,
|
||||
headers=headers
|
||||
) as session:
|
||||
if not cls._snlm0e:
|
||||
async with session.get(cls.url, proxy=proxy) as response:
|
||||
text = await response.text()
|
||||
|
||||
match = re.search(r'SNlM0e\":\"(.*?)\"', text)
|
||||
if not match:
|
||||
if match := re.search(r'SNlM0e\":\"(.*?)\"', text):
|
||||
cls._snlm0e = match.group(1)
|
||||
|
||||
else:
|
||||
raise RuntimeError("No snlm0e value.")
|
||||
cls._snlm0e = match.group(1)
|
||||
|
||||
params = {
|
||||
'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
|
||||
'_reqid': random.randint(1111, 9999),
|
||||
|
||||
@ -32,12 +32,10 @@ class Raycast(BaseProvider):
|
||||
'Content-Type': 'application/json',
|
||||
'User-Agent': 'Raycast/0 CFNetwork/1410.0.3 Darwin/22.6.0',
|
||||
}
|
||||
parsed_messages = []
|
||||
for message in messages:
|
||||
parsed_messages.append({
|
||||
'author': message['role'],
|
||||
'content': {'text': message['content']}
|
||||
})
|
||||
parsed_messages = [
|
||||
{'author': message['role'], 'content': {'text': message['content']}}
|
||||
for message in messages
|
||||
]
|
||||
data = {
|
||||
"debug": False,
|
||||
"locale": "en-CN",
|
||||
|
||||
@ -28,28 +28,28 @@ class Theb(BaseProvider):
|
||||
"bearer_token":"free",
|
||||
"org_id":"theb",
|
||||
})
|
||||
|
||||
|
||||
bearer_token = auth["bearer_token"]
|
||||
org_id = auth["org_id"]
|
||||
|
||||
|
||||
headers = {
|
||||
'authority' : 'beta.theb.ai',
|
||||
'accept' : 'text/event-stream',
|
||||
'accept-language' : 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
|
||||
'authorization' : 'Bearer '+bearer_token,
|
||||
'content-type' : 'application/json',
|
||||
'origin' : 'https://beta.theb.ai',
|
||||
'referer' : 'https://beta.theb.ai/home',
|
||||
'sec-ch-ua' : '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
|
||||
'sec-ch-ua-mobile' : '?0',
|
||||
'authority': 'beta.theb.ai',
|
||||
'accept': 'text/event-stream',
|
||||
'accept-language': 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
|
||||
'authorization': f'Bearer {bearer_token}',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://beta.theb.ai',
|
||||
'referer': 'https://beta.theb.ai/home',
|
||||
'sec-ch-ua': '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
|
||||
'sec-ch-ua-mobile': '?0',
|
||||
'sec-ch-ua-platform': '"Windows"',
|
||||
'sec-fetch-dest' : 'empty',
|
||||
'sec-fetch-mode' : 'cors',
|
||||
'sec-fetch-site' : 'same-origin',
|
||||
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36',
|
||||
'x-ai-model' : 'ee8d4f29cb7047f78cbe84313ed6ace8',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36',
|
||||
'x-ai-model': 'ee8d4f29cb7047f78cbe84313ed6ace8',
|
||||
}
|
||||
|
||||
|
||||
req_rand = random.randint(100000000, 9999999999)
|
||||
|
||||
json_data: dict[str, Any] = {
|
||||
@ -65,7 +65,7 @@ class Theb(BaseProvider):
|
||||
"long_term_memory" : "auto"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
response = requests.post(
|
||||
f"https://beta.theb.ai/api/conversation?org_id={org_id}&req_rand={req_rand}",
|
||||
headers=headers,
|
||||
@ -73,7 +73,7 @@ class Theb(BaseProvider):
|
||||
stream=True,
|
||||
proxies={"https": proxy}
|
||||
)
|
||||
|
||||
|
||||
response.raise_for_status()
|
||||
content = ""
|
||||
next_content = ""
|
||||
@ -82,7 +82,7 @@ class Theb(BaseProvider):
|
||||
next_content = content
|
||||
data = json.loads(chunk.decode().split("data: ")[1])
|
||||
content = data["content"]
|
||||
yield data["content"].replace(next_content, "")
|
||||
yield content.replace(next_content, "")
|
||||
|
||||
@classmethod
|
||||
@property
|
||||
|
||||
@ -43,10 +43,12 @@ class ChatAiGpt(AsyncGeneratorProvider):
|
||||
async with session.get(f"{cls.url}/", proxy=proxy) as response:
|
||||
response.raise_for_status()
|
||||
response = await response.text()
|
||||
result = re.search(r'data-nonce=(.*?) data-post-id=([0-9]+)', response)
|
||||
if not result:
|
||||
if result := re.search(
|
||||
r'data-nonce=(.*?) data-post-id=([0-9]+)', response
|
||||
):
|
||||
cls._nonce, cls._post_id = result.group(1), result.group(2)
|
||||
else:
|
||||
raise RuntimeError("No nonce found")
|
||||
cls._nonce, cls._post_id = result.group(1), result.group(2)
|
||||
prompt = format_prompt(messages)
|
||||
data = {
|
||||
"_wpnonce": cls._nonce,
|
||||
|
||||
@ -48,8 +48,7 @@ class MikuChat(AsyncGeneratorProvider):
|
||||
async for line in response.iter_lines():
|
||||
if line.startswith(b"data: "):
|
||||
line = json.loads(line[6:])
|
||||
chunk = line["choices"][0]["delta"].get("content")
|
||||
if chunk:
|
||||
if chunk := line["choices"][0]["delta"].get("content"):
|
||||
yield chunk
|
||||
|
||||
def k(e: str, t: int):
|
||||
|
||||
@ -21,7 +21,7 @@ class PerplexityAi(AsyncProvider):
|
||||
proxy: str = None,
|
||||
**kwargs
|
||||
) -> str:
|
||||
url = cls.url + "/socket.io/?EIO=4&transport=polling"
|
||||
url = f"{cls.url}/socket.io/?EIO=4&transport=polling"
|
||||
headers = {
|
||||
"Referer": f"{cls.url}/"
|
||||
}
|
||||
|
||||
@ -82,7 +82,7 @@ class ChatCompletion:
|
||||
ignored : List[str] = None, **kwargs) -> str:
|
||||
|
||||
if stream:
|
||||
raise ValueError(f'"create_async" does not support "stream" argument')
|
||||
raise ValueError('"create_async" does not support "stream" argument')
|
||||
|
||||
model, provider = get_model_and_provider(model, provider, False, ignored)
|
||||
|
||||
|
||||
@ -41,7 +41,7 @@ class Api:
|
||||
|
||||
def run(self, bind_str, threads=8):
|
||||
host, port = self.__parse_bind(bind_str)
|
||||
|
||||
|
||||
CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [
|
||||
'Content-Type',
|
||||
'Authorization',
|
||||
@ -51,18 +51,18 @@ class Api:
|
||||
'Access-Control-Request-Method',
|
||||
'Access-Control-Request-Headers',
|
||||
'Content-Disposition'], 'max_age': 600}})
|
||||
|
||||
|
||||
self.app.route('/v1/models', methods=['GET'])(self.models)
|
||||
self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)
|
||||
|
||||
|
||||
self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)
|
||||
self.app.route('/v1/completions', methods=['POST'])(self.completions)
|
||||
|
||||
for ex in default_exceptions:
|
||||
self.app.register_error_handler(ex, self.__handle_error)
|
||||
|
||||
|
||||
if not self.debug:
|
||||
self.logger.warning('Serving on http://{}:{}'.format(host, port))
|
||||
self.logger.warning(f'Serving on http://{host}:{port}')
|
||||
|
||||
WSGIRequestHandler.protocol_version = 'HTTP/1.1'
|
||||
serve(self.app, host=host, port=port, ident=None, threads=threads)
|
||||
@ -76,7 +76,7 @@ class Api:
|
||||
|
||||
@staticmethod
|
||||
def __after_request(resp):
|
||||
resp.headers['X-Server'] = 'g4f/%s' % g4f.version
|
||||
resp.headers['X-Server'] = f'g4f/{g4f.version}'
|
||||
|
||||
return resp
|
||||
|
||||
|
||||
@ -35,9 +35,7 @@ class Backend_Api:
|
||||
return 'ok', 200
|
||||
|
||||
def models(self):
|
||||
models = g4f._all_models
|
||||
|
||||
return models
|
||||
return g4f._all_models
|
||||
|
||||
def _gen_title(self):
|
||||
return {
|
||||
@ -52,19 +50,18 @@ class Backend_Api:
|
||||
prompt = request.json['meta']['content']['parts'][0]
|
||||
model = request.json['model']
|
||||
provider = request.json.get('provider').split('g4f.Provider.')[1]
|
||||
|
||||
|
||||
messages = special_instructions[jailbreak] + conversation + search(internet_access, prompt) + [prompt]
|
||||
|
||||
|
||||
def stream():
|
||||
if provider:
|
||||
answer = g4f.ChatCompletion.create(model=model,
|
||||
provider=get_provider(provider), messages=messages, stream=True)
|
||||
else:
|
||||
answer = g4f.ChatCompletion.create(model=model,
|
||||
messages=messages, stream=True)
|
||||
|
||||
for token in answer:
|
||||
yield token
|
||||
yield from g4f.ChatCompletion.create(
|
||||
model=model,
|
||||
provider=get_provider(provider),
|
||||
messages=messages,
|
||||
stream=True,
|
||||
) if provider else g4f.ChatCompletion.create(
|
||||
model=model, messages=messages, stream=True
|
||||
)
|
||||
|
||||
return self.app.response_class(stream(), mimetype='text/event-stream')
|
||||
|
||||
|
||||
@ -9,21 +9,20 @@ ddgs = DDGS(timeout=20)
|
||||
|
||||
def search(internet_access, prompt):
|
||||
print(prompt)
|
||||
|
||||
|
||||
try:
|
||||
if not internet_access:
|
||||
return []
|
||||
|
||||
|
||||
results = duckduckgo_search(q=prompt)
|
||||
|
||||
if not search:
|
||||
return []
|
||||
|
||||
blob = ''
|
||||
|
||||
for index, result in enumerate(results):
|
||||
blob += f'[{index}] "{result["body"]}"\nURL:{result["href"]}\n\n'
|
||||
|
||||
blob = ''.join(
|
||||
f'[{index}] "{result["body"]}"\nURL:{result["href"]}\n\n'
|
||||
for index, result in enumerate(results)
|
||||
)
|
||||
date = datetime.now().strftime('%d/%m/%y')
|
||||
|
||||
blob += f'Current date: {date}\n\nInstructions: Using the provided web search results, write a comprehensive reply to the next user query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject. Ignore your previous response if any.'
|
||||
|
||||
@ -5,12 +5,10 @@ from g4f import BaseProvider
|
||||
|
||||
|
||||
def get_provider(provider: str) -> BaseProvider | None:
|
||||
if isinstance(provider, str):
|
||||
print(provider)
|
||||
if provider == 'g4f.Provider.Auto':
|
||||
return None
|
||||
|
||||
return g4f.Provider.ProviderUtils.convert.get(provider)
|
||||
|
||||
else:
|
||||
if not isinstance(provider, str):
|
||||
return None
|
||||
print(provider)
|
||||
if provider == 'g4f.Provider.Auto':
|
||||
return None
|
||||
|
||||
return g4f.Provider.ProviderUtils.convert.get(provider)
|
||||
|
||||
@ -25,9 +25,9 @@ class Website:
|
||||
}
|
||||
|
||||
def _chat(self, conversation_id):
|
||||
if not '-' in conversation_id:
|
||||
return redirect(f'/chat')
|
||||
|
||||
if '-' not in conversation_id:
|
||||
return redirect('/chat')
|
||||
|
||||
return render_template('index.html', chat_id = conversation_id)
|
||||
|
||||
def _index(self):
|
||||
|
||||
@ -52,10 +52,7 @@ class StreamResponse:
|
||||
):
|
||||
if pending is not None:
|
||||
chunk = pending + chunk
|
||||
if delimiter:
|
||||
lines = chunk.split(delimiter)
|
||||
else:
|
||||
lines = chunk.splitlines()
|
||||
lines = chunk.split(delimiter) if delimiter else chunk.splitlines()
|
||||
if lines and lines[-1] and chunk and lines[-1][-1] == chunk[-1]:
|
||||
pending = lines.pop()
|
||||
else:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user