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https://git.mirrors.martin98.com/https://github.com/open-webui/open-webui
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refac: reuse stream_message_template
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@ -19,7 +19,7 @@ from apps.webui.models.functions import Functions
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from apps.webui.models.models import Models
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from apps.webui.utils import load_function_module_by_id
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from utils.misc import stream_message_template
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from utils.misc import stream_message_template, whole_message_template
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from utils.task import prompt_template
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@ -203,7 +203,7 @@ async def execute_pipe(pipe, params):
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return pipe(**params)
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async def get_message(res: str | Generator | AsyncGenerator) -> str:
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async def get_message_content(res: str | Generator | AsyncGenerator) -> str:
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if isinstance(res, str):
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return res
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if isinstance(res, Generator):
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@ -212,28 +212,6 @@ async def get_message(res: str | Generator | AsyncGenerator) -> str:
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return "".join([str(stream) async for stream in res])
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def get_final_message(form_data: dict, message: str | None = None) -> dict:
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choice = {
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"index": 0,
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"logprobs": None,
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"finish_reason": "stop",
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}
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# If message is None, we're dealing with a chunk
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if not message:
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choice["delta"] = {}
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else:
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choice["message"] = {"role": "assistant", "content": message}
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return {
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"id": f"{form_data['model']}-{str(uuid.uuid4())}",
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"created": int(time.time()),
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"model": form_data["model"],
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"object": "chat.completion" if message is not None else "chat.completion.chunk",
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"choices": [choice],
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}
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def process_line(form_data: dict, line):
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if isinstance(line, BaseModel):
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line = line.model_dump_json()
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@ -292,7 +270,9 @@ def get_params_dict(pipe, form_data, user, extra_params, function_module):
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def get_extra_params(metadata: dict):
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__event_emitter__ = __event_call__ = __task__ = None
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__event_emitter__ = None
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__event_call__ = None
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__task__ = None
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if metadata:
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if all(k in metadata for k in ("session_id", "chat_id", "message_id")):
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@ -401,7 +381,8 @@ async def generate_function_chat_completion(form_data, user):
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yield process_line(form_data, line)
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = get_final_message(form_data)
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finish_message = stream_message_template(form_data, "")
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finish_message["choices"][0]["finish_reason"] = "stop"
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield "data: [DONE]"
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@ -419,7 +400,7 @@ async def generate_function_chat_completion(form_data, user):
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if isinstance(res, BaseModel):
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return res.model_dump()
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message = await get_message(res)
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return get_final_message(form_data, message)
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message = await get_message_content(res)
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return whole_message_template(form_data["model"], message)
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return await job()
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@ -87,23 +87,29 @@ def add_or_update_system_message(content: str, messages: List[dict]):
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return messages
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def stream_message_template(model: str, message: str):
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def message_template(model: str):
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return {
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"id": f"{model}-{str(uuid.uuid4())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": model,
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"choices": [
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{
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"index": 0,
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"delta": {"content": message},
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"logprobs": None,
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"finish_reason": None,
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}
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],
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"choices": [{"index": 0, "logprobs": None, "finish_reason": None}],
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}
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def stream_message_template(model: str, message: str):
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template = message_template(model)
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template["object"] = "chat.completion.chunk"
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template["choices"][0]["delta"] = {"content": message}
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return template
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def whole_message_template(model: str, message: str):
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template = message_template(model)
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template["object"] = "chat.completion"
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template["choices"][0]["message"] = {"content": message, "role": "assistant"}
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template["choices"][0]["finish_reason"] = "stop"
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def get_gravatar_url(email):
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# Trim leading and trailing whitespace from
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# an email address and force all characters
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