text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
values | hash stringlengths 16 16 | score float64 7 8.5 | stars int64 0 237k |
|---|---|---|---|---|---|---|
"""LLM 辅助优化会议转录(声纹分离之后的增强层)。
声纹负责"谁说的"(它有声音信息,是强项);LLM 负责它擅长、声纹做不到的事:
1. 给说话人起名/角色:把抽象的"发言人1/2"识别成"面试官/应聘者",或从对话里
认出自报的真名(如有人说"我叫小林"),输出 标签→显示名 映射。
2. 纠正 ASR 同音错字 / 人名术语:结合上下文把识别错的字纠回(追蜜→追觅),
只做"等长/近义"的小修,不重写句子。
3. 仅在声纹归属与对话逻辑【明显矛盾】处轻量改归属(不全量重判——声纹通常更准)。
返回结构化结果,各项都做严格校验后由调用方择优应用。无 key/失败返回空结果
(不动声纹结果... | superLin006/LiveBabel | livebabel/meeting/llm_refine.py | .py | e80036cb6097f44d | 7.42 | 6 |
"""用 ffmpeg 把字幕硬压(烧录)进视频,生成新的视频文件。
硬压 = 字幕变成画面像素,任何播放器/平台都能看到,不依赖外挂字幕文件。
用 ASS 烧录能保留双语配色(原文白、译文青)。
速度说明:字幕叠加(subtitles 滤镜)是 CPU 软件滤镜,无法 GPU 化;但视频「重编码」
这步可以走 GPU(NVENC),比 CPU 的 libx264 快很多。有 N 卡时优先 NVENC,失败回退
CPU 的 libx264 veryfast(比默认 medium 快得多,体积/画质略有取舍)。
"""
from __future__ import annotations
import os
import su... | superLin006/LiveBabel | livebabel/offline/burn.py | .py | 2248f6619e7f5b80 | 7.42 | 6 |
"""Windows 下让 CTranslate2 找到并加载 cuBLAS / cuDNN 运行时 DLL。
CTranslate2 4.x 不再自带这些 DLL;它们由 pip 包 nvidia-cublas-cu12 / nvidia-cudnn-cu12
提供,落在 site-packages\\nvidia\\<子包>\\bin\\。仅 os.add_dll_directory() 有时不够
(取决于 CTranslate2 内部用什么方式加载),最稳的是把这些目录全部注册 + 预加载关键 DLL
进进程。本模块在加载模型前调用一次,使源码运行和打包后的 exe 都无需手动配 PATH。
非 Windows(Linux... | superLin006/LiveBabel | livebabel/offline/cuda_dll.py | .py | 570557d220e18808 | 7.42 | 6 |
"""把带时间戳的双语句子写成字幕文件。
* SRT:纯文本,最兼容(视频网站、所有播放器)。双语为原文一行 + 译文一行。
* ASS:带样式,原文白色、译文青色,可控字体/描边/位置。双语配色更好看。
输入是 transcribe.Sentence 列表(已填 translation)。
"""
from __future__ import annotations
from typing import List
from livebabel.offline.transcribe import Sentence
# ---------- 时间戳格式 ----------
def _srt_ts(sec: f... | superLin006/LiveBabel | livebabel/offline/subtitle_writer.py | .py | caaa9ab8b5e4c0a2 | 7.42 | 6 |
"""离线识别:用 Qwen3-ASR-0.6B 把视频/音频转成带时间戳的句子。
Qwen3-ASR 在 sherpa-onnx 中是离线模型。这里使用同一套 Silero VAD 做句段
切分，再对每个纯语音段进行 Qwen 识别；CPU 使用 INT8，CUDA 使用 FP16。
输出:list[Sentence],每个含 start/end(秒)和 text(原文)。
"""
from __future__ import annotations
import os
import tempfile
import wave
from dataclasses import dataclass
from typing imp... | superLin006/LiveBabel | livebabel/offline/transcribe.py | .py | 6e82fdc961c56aa1 | 7.42 | 6 |
"""离线批量翻译:把识别出的句子分批(默认每批 10 句)翻译,带滚动上下文。
逐句翻译会发很多次 HTTP 请求(网络往返是大头),慢。一次发一批让模型整体翻译,
请求数降一个量级,且整体翻译上下文更完整、术语更一致,质量通常更好。
风险是模型返回的行数和输入对不齐 → 用编号约定 + 数量校验,不齐就回退逐句翻译这一批,
保证绝不串轴。复用与实时一致的 DeepSeek 调用方式。
"""
from __future__ import annotations
import os
import re
from collections import deque
from typing import List, Optiona... | superLin006/LiveBabel | livebabel/offline/translate_batch.py | .py | ba52a4332c0dd8bd | 7.42 | 6 |
"""统一的资源路径解析,兼容"源码运行"和"PyInstaller 打包后运行"两种情况。
打包后 sys.frozen 为 True,可执行文件目录是 exe 所在目录。模型/历史/设置都放在
exe 旁边(而不是打进 exe),所以以 exe 目录为基准;源码运行则以本文件目录为基准。
模型目录结构(v2.0+):
models/
vad/silero_vad.onnx
zipformer/{tokens,encoder,decoder,joiner,bpe.*}
qwen3-asr/{conv_frontend.onnx,encoder.int8.onnx,decoder.int8.onnx,... | superLin006/LiveBabel | livebabel/paths.py | .py | 684d3dbf810c0a44 | 7.42 | 6 |
"""朗读合成结果缓存:按 (文本内容, 音色) 算 key,命中则直接读盘播放,
不重新调用引擎合成。key 里带音色文件内容的 hash,换音色/重新采样声纹后
旧缓存自然失效(不会读到错音色的缓存),不需要额外的失效逻辑。
存储:history/tts_cache/<key>.wav,一个 key 一个完整拼好的 wav 文件。
不做容量上限/过期清理——纪要/字幕文本量级不大,合成产物是纯语音、体积
可控(如 100 字约 1MB),留给用户按需手动清理 history/ 目录即可,
不必增加自动淘汰的复杂度和"缓存突然消失"的意外。
"""
from __future__ import annotations
imp... | superLin006/LiveBabel | livebabel/tts/cache.py | .py | b7947bf9125d693c | 7.42 | 6 |
"""ChatTTS 朗读引擎:魔改版 sherpa-onnx(集成 ChatTTS onnx int8)的薄封装。
魔改版 sherpa_onnx 是官方包的超集(同时含 ASR 识别 + ChatTTS 合成能力),
直接 import sherpa_onnx 即可,不需要运行时隔离。环境里只装这一个包
(参见 requirements.txt 注释),不再与官方 sherpa-onnx 共存。
"""
from __future__ import annotations
import os
import threading
from typing import Callable, Optional
import num... | superLin006/LiveBabel | livebabel/tts/chattts_engine.py | .py | d6c373a106212be5 | 7.42 | 6 |
"""把纪要/字幕文本切成适合朗读的"段"(不是逐句):按目标字数攒够整句再切,
在段内交给 ChatTTS 做一次连续的流式合成(段内音色/韵律连贯、无缝),只在
段与段之间(必要的独立 GPT 调用)才有起势的成本。
为什么不逐句切:ChatTTS 的 GPT 每次独立调用都要重新"起势"(prefill 阶段
的语调状态从头采样),逐句切会让每句话都短促生硬、句间听感割裂。攒到
一定长度再合成,段内部靠真流式(见 chattts_engine.py 的 on_chunk 回调)
边生成边播放,消除人为分句造成的割裂,只保留物理上必要的长文本分段。
"""
from __future__ import annotations... | superLin006/LiveBabel | livebabel/tts/text_split.py | .py | 3db8021500ed8d8d | 7.42 | 6 |
"""听写 HUD 浮窗:深色胶囊(参考 macOS 系统听写)。
体验设计:
* 按下热键立刻出现「正在聆听…」+ 呼吸红点 —— 即时反馈热键已生效。
* 说话时两段式草稿:已定稿文字白色,未定稿(volatile)灰色,一眼分清。
* 松开后红点变绿、显示最终文本一瞬,再平滑淡出 —— 确认"就是这段话进了输入框"。
* 单行过长时从左侧省略,始终看得到最新说的词。
无边框、置顶、半透明、不抢焦点(否则注入会注到浮窗自己)。
所有方法须在 Qt 主线程调用(由 DictationService 的信号驱动)。
"""
from __future__ import annotations
import h... | superLin006/LiveBabel | livebabel/ui/dictation_overlay.py | .py | 65612b4f2f300127 | 7.42 | 6 |
"""GUI 通用件:统一的浅色「苹果风」主题样式、字体与小组件,供各页面复用。
设计语言参考 macOS 浅色模式:纯净浅灰背景、大圆角柔和卡片、细分隔线、
系统蓝强调、宽松留白。集中放一处,改主题只动这里。
(实时悬浮窗 overlay.py 自管样式,不受本文件影响。)
"""
from __future__ import annotations
# 应用版本(首页页脚显示;发版时与 git tag 同步)
APP_VERSION = "1.5.0"
# ---- 浅色苹果风色板 ----
BG = "#F5F5F7" # 窗口背景(macOS 经典浅灰)
CARD = "#FFFFFF" ... | superLin006/LiveBabel | livebabel/ui/gui_common.py | .py | 2874cf469a90680a | 7.42 | 6 |
"""首次启动:语音模型下载进度窗。
检测到 models/ 缺模型时弹出。在后台线程从 ModelScope 下载(支持断点续传),
进度条 + 日志实时显示。下完返回 Accepted;用户取消 / 关窗返回 Rejected。
"""
from __future__ import annotations
from PySide6.QtCore import QObject, QThread, Qt, Signal
from PySide6.QtWidgets import (
QDialog,
QHBoxLayout,
QLabel,
QProgressBar,
QPushButt... | superLin006/LiveBabel | livebabel/ui/model_download_dialog.py | .py | 714d2c5f6b69d23c | 7.42 | 6 |
"""透明置顶双语字幕悬浮窗(PySide6)—— 桌面歌词式体验。
特性:
* 紧凑滚动:默认显示最近 N 句(N 可调),新句从下往上,像桌面歌词。
* 双语上下排:原文白色在上,译文青色在下。volatile 未定稿行浅灰斜体。
* 窗口可自由缩放:拖动右下角手柄改大小;按住左键拖动整体移动。
* 右键菜单:切换目标语种 / 字号 / 显示行数 / 是否显示原文 / 锁定位置 / 退出。
* 设置持久化:字号、行数、语种、窗口位置大小存到 settings.json,下次自动恢复。
线程模型:ASR/翻译在后台线程,通过 Qt 信号把文本送到 GUI 线程刷新。
切换语种通过 lang_changed ... | superLin006/LiveBabel | livebabel/ui/overlay.py | .py | 52c6a2f72c685296 | 7.42 | 6 |
# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
AbacusAI Smaug 72B v0.1 model loader implementation.
"""
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, AutoConfig
from typing import Optional
from ...base import ForgeModel
from ...config imp... | tenstorrent/tt-forge-models | abacusai/pytorch/loader.py | .py | 9425d643a08af480 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT model loader implementation for masked language modeling.
"""
from transformers import FlaxAlbertForMaskedLM, AlbertTokenizer
from typing import Optional
from ....base import ForgeModel
from ....config import (
... | tenstorrent/tt-forge-models | albert/masked_lm/jax/loader.py | .py | 7d580b271cf2da1c | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT PaddlePaddle model loader implementation for masked language modeling.
"""
from typing import Optional, List
import paddle
from paddlenlp.transformers import AlbertForMaskedLM, AlbertTokenizer
from ....config imp... | tenstorrent/tt-forge-models | albert/masked_lm/paddlepaddle/loader.py | .py | 5a19e3a8835d8ebc | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT model loader implementation for masked language modeling.
"""
import torch
from transformers import AlbertForMaskedLM, AlbertTokenizer
from typing import Optional
from ....base import ForgeModel
from ....config imp... | tenstorrent/tt-forge-models | albert/masked_lm/pytorch/loader.py | .py | c30e66aeab98f542 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT model loader implementation for question answering.
"""
import torch
from transformers import AlbertForQuestionAnswering, AutoTokenizer
from typing import Optional
from ....base import ForgeModel
from ....config im... | tenstorrent/tt-forge-models | albert/question_answering/pytorch/loader.py | .py | daa8cf68e9b0b5fd | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT model loader implementation for sequence classification.
"""
import torch
from transformers import AlbertForSequenceClassification, AlbertTokenizer
from typing import Optional
from ....base import ForgeModel
from .... | tenstorrent/tt-forge-models | albert/sequence_classification/pytorch/loader.py | .py | 9173c9258986e57f | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALBERT model loader implementation for token classification.
"""
import torch
from transformers import AlbertForTokenClassification, AlbertTokenizer
from typing import Optional
from ....base import ForgeModel
from ....con... | tenstorrent/tt-forge-models | albert/token_classification/pytorch/loader.py | .py | 7d9c982e4414bced | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
AlexNet model loader implementation for image classification.
"""
from typing import Optional
import jax
import jax.numpy as jnp
import numpy as np
from ....base import ForgeModel
from ....config import (
ModelConfig... | tenstorrent/tt-forge-models | alexnet/image_classification/jax/loader.py | .py | da3fb943d3138557 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
AlexNet ONNX model loader.
"""
# Reuse the PyTorch ModelLoader as the base
from ...pytorch.loader import ModelLoader as PyTorchModelLoader
from ....tools.utils import export_torch_model_to_onnx, print_compiled_model_resul... | tenstorrent/tt-forge-models | alexnet/image_classification/onnx/loader.py | .py | 2de6209eb765a62b | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
AlexNet PaddlePaddle model loader implementation.
"""
from typing import Optional
import paddle
from paddle.vision.models import alexnet
from ....config import (
ModelConfig,
ModelInfo,
ModelGroup,
Model... | tenstorrent/tt-forge-models | alexnet/image_classification/paddlepaddle/loader.py | .py | e871aaee4ea980bc | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ALLaM model loader implementation for causal language modeling.
"""
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from typing import Optional
from ....base import ForgeModel
from ....config imp... | tenstorrent/tt-forge-models | allam/causal_lm/pytorch/loader.py | .py | 5a213535cce427f1 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
ARCEE model loader implementation for causal language modeling.
"""
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig
from typing import Optional
from ....base import ForgeModel
from .... | tenstorrent/tt-forge-models | arcee/text_generation/pytorch/loader.py | .py | 167d8fd0d8239449 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
Bucketed embedding layer for game variables.
"""
import torch.nn as nn
class BucketedEmbedding(nn.Embedding):
"""Embedding layer that buckets input indices to reduce vocabulary size."""
def __init__(self, bucket... | tenstorrent/tt-forge-models | arnold/pytorch/src/bucketed_embedding.py | .py | 7606dce33de49a67 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
DQN Module implementations for Arnold - Deep Q-Network for ViZDoom.
"""
import torch
import torch.nn as nn
from logging import getLogger
from .model_utils import (
build_CNN_network,
build_game_variables_network,
... | tenstorrent/tt-forge-models | arnold/pytorch/src/dqn_module.py | .py | da2b6aae55560e2a | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
Model utility functions for building CNN and embedding networks.
"""
import torch
import torch.nn as nn
from torch.autograd import Variable
from logging import getLogger
from .bucketed_embedding import BucketedEmbedding
... | tenstorrent/tt-forge-models | arnold/pytorch/src/model_utils.py | .py | 07b2d59c6178b6e9 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
Attention DenseUNet model loader implementation
"""
import torch
from typing import Optional
from .src.model import AttentionUNet
from ...config import (
ModelConfig,
ModelInfo,
ModelGroup,
ModelTask,
... | tenstorrent/tt-forge-models | attention_denseunet/pytorch/loader.py | .py | 6f98036288f442b2 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
import torch
import torch.nn as nn
import torch.nn.functional as F
class DoubleConv(nn.Module):
"""(Conv => BN => ReLU) * 2"""
def __init__(self, in_ch, out_ch, mid_ch=None):
super().__init__()
if no... | tenstorrent/tt-forge-models | attention_denseunet/pytorch/src/model.py | .py | 71bfd835914ecce5 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
"""
Autoencoder ONNX model loader.
"""
# Reuse the PyTorch ModelLoader as the base
from ...pytorch.loader import ModelLoader as PyTorchModelLoader, ModelVariant
from ....tools.utils import export_torch_model_to_onnx
class M... | tenstorrent/tt-forge-models | autoencoder/image_classification/onnx/loader.py | .py | c144ec9110eec4c1 | 7.59 | 14 |
# SPDX-FileCopyrightText: (c) 2024 Tenstorrent AI ULC
#
# SPDX-License-Identifier: Apache-2.0
# Reference: https://github.com/tenstorrent/tt-buda-demos/blob/main/model_demos/cv_demos/linear_autoencoder/pytorch_linear_autoencoder.py
"""
Autoencoder Linear/Conv model loader implementation
"""
import os
import numpy as np... | tenstorrent/tt-forge-models | autoencoder/pytorch/loader.py | .py | e362056406f998a2 | 7.59 | 14 |
"""被动 turn 的历史读取与 prompt 辅助函数。"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
from agent.prompting import is_context_frame
if TYPE_CHECKING:
from agent.core.runtime_support import SessionLike
from agent.tools.registry import ToolRegistry
def get_history_since_consolidated(
... | YinFengWindy/Shiori-Agent | apps/backend/agent/core/passive_turn/helpers.py | .py | eba4f3d5b12c79cc | 7.64 | 18 |
"""被动推理的工具事件观测与结果构建逻辑。"""
from __future__ import annotations
import logging
from typing import Any
import agent.core.passive_support as support
from agent.core.types import LLMToolCall, ReasonerResult
from bus.events_lifecycle import ToolCallCompleted, ToolCallStarted
logger = logging.getLogger("agent.core.passive_... | YinFengWindy/Shiori-Agent | apps/backend/agent/core/passive_turn/reasoning_result.py | .py | 61d4b16272b6102b | 7.64 | 18 |
"""Official plugin seam for proactive turn admission policies."""
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
from enum import StrEnum
from time import perf_counter
from typing import Literal, Mapping, Protocol, Sequence, runtime_checkable
class Proactiv... | YinFengWindy/Shiori-Agent | apps/backend/agent/core/proactive_turn/gates.py | .py | ac43e5fe81c60d69 | 7.64 | 18 |
"""主动回复 tick 生命周期与工具步骤日志。"""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from agent.turns.result import TurnResult
from proactive_v2.context import AgentTickContext
def record_tick_log_start(
*,
state_store: Any,
session_key: str,
ctx: AgentTick... | YinFengWindy/Shiori-Agent | apps/backend/agent/core/proactive_turn/tick_logging.py | .py | 2e5696c0a784bb4f | 7.64 | 18 |
"""主动回复 pipeline 的共享结果与依赖契约。"""
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Awaitable, Callable
from ..drift_turn import DriftTurnPipeline
from agent.tool_hooks import ToolHook
from agent.turns.orchestrator import TurnOrchestrator
... | YinFengWindy/Shiori-Agent | apps/backend/agent/core/proactive_turn/types.py | .py | 5aac7fbfa155d183 | 7.64 | 18 |
"""Agent loop 的稳定公共入口。"""
import asyncio
from .assembly import _AssemblyMixin
from .helpers import (
StreamDelta,
StreamSink,
StreamSinkFactory,
StreamSupportPolicy,
_MANUAL_CONSOLIDATION_TIMEOUT_SECONDS,
_build_resume_content,
_is_positive_int,
_item_content,
_STREAM_SUPPORT_POLIC... | YinFengWindy/Shiori-Agent | apps/backend/agent/looping/core/__init__.py | .py | b4a35b32eac29688 | 7.64 | 18 |
"""AgentLoop 依赖装配与兼容配置属性。"""
from __future__ import annotations
import asyncio
from typing import cast
from agent.context import ContextBuilder
from agent.core.passive_turn import (
AgentCore,
AgentCoreDeps,
DefaultContextStore,
DefaultReasoner,
)
from agent.core.runner import (
CoreRunner,
Co... | YinFengWindy/Shiori-Agent | apps/backend/agent/looping/core/assembly.py | .py | 2d1bcc59ea7714dd | 7.64 | 18 |
"""Sync-over-async bridge for authlib's callbacks.
authlib's OAuth2 core (``AuthorizationServer``, grant classes, client/token
mixins) is entirely synchronous — there is no Starlette/FastAPI integration
and no async support. This repo's database access (asyncpg) is entirely
async. Rather than adding a second, synchron... | nitin27may/e-commerce-agents | agents/python/auth_server/_bridge.py | .py | 088c54a48216716a | 7.66 | 20 |
"""OAuth2 grant classes for the self-hosted authorization server.
``ClientCredentialsGrant`` needs no customization — authlib's built-in
implementation is complete for our purposes and is registered as-is in
``server.py``. The other two grants need user/token lookups against
Postgres, bridged from authlib's synchronou... | nitin27may/e-commerce-agents | agents/python/auth_server/grants.py | .py | 1ad3eb717614641f | 7.66 | 20 |
"""RSA signing-key bootstrap and JWKS serving for the self-hosted auth-server.
On first boot (no active row in ``oauth_signing_keys``) a new RSA keypair is
generated and persisted — the public JWK plus a private PEM, encrypted at
rest when ``AUTH_SIGNING_KEY_ENCRYPTION_KEY`` is set (required outside
development, see `... | nitin27may/e-commerce-agents | agents/python/auth_server/keys.py | .py | 04fec6df0448b232 | 7.66 | 20 |
"""Self-hosted OAuth2 Authorization Server — entry point.
Run as HTTP service:
uvicorn auth_server.main:app --host 0.0.0.0 --port 8090
Endpoints:
GET /health
GET /.well-known/jwks.json
GET /.well-known/oauth-authorization-server (RFC 8414 metadata)
POST /oauth/token
POST /oauth/register ... | nitin27may/e-commerce-agents | agents/python/auth_server/main.py | .py | 35c8acd81a4ca574 | 7.66 | 20 |
"""RFC 7591 dynamic client registration — the business logic (validation +
persistence), separate from the HTTP route wiring in ``main.py``.
Gated behind ``settings.AUTH_ALLOW_DYNAMIC_REGISTRATION`` (off by default —
this app's client registry is otherwise fixed/seeded, see ``clients.py``'s
own module docstring). When... | nitin27may/e-commerce-agents | agents/python/auth_server/register.py | .py | 64fb5bc84635d901 | 7.66 | 20 |
"""RFC 9068 JWT access-token generator for the self-hosted OAuth2 AS.
Subclasses authlib's own RFC 9068 implementation
(``authlib.oauth2.rfc9068.JWTBearerTokenGenerator``) rather than hand-rolling
a token generator — the base class already builds a spec-compliant claim
set (iss/exp/client_id/iat/jti/scope/sub/aud, ``t... | nitin27may/e-commerce-agents | agents/python/auth_server/token.py | .py | 3d17c7375be737d7 | 7.66 | 20 |
"""Stored eval-score baselines and regression detection.
A baseline is a snapshot of an ``EvalSummary``'s key scores, committed to
``evals/baselines/<suite>.json``. ``--baseline`` compares a fresh run
against it and fails the run if any tracked score dropped by more than
``--max-regression``; ``--update-baseline`` ove... | nitin27may/e-commerce-agents | agents/python/evals/baselines.py | .py | b7631878cd02a638 | 7.66 | 20 |
"""Agent evaluation framework — scores agent responses on groundedness, correctness, and completeness.
Loads golden datasets, runs each input through the real production execution
path (``evals/harness.py::ProductionRunner``), and produces a scored summary
report.
Historical note: this used to hand-roll its own OpenA... | nitin27may/e-commerce-agents | agents/python/evals/evaluator.py | .py | c3e91f7436510821 | 7.66 | 20 |
"""Runs eval cases through the real production execution path.
Replaces ``evaluator.py``'s old ``_run_agent()``, which hand-rolled its own
OpenAI tool-calling loop and called raw undecorated tool functions directly
— bypassing every ``AgentMiddleware``/``FunctionMiddleware`` a real request
goes through (guardrails, HI... | nitin27may/e-commerce-agents | agents/python/evals/harness.py | .py | a264bd8d82ea885f | 7.66 | 20 |
"""One-shot migration: re-key committed replay fixtures under the current hash.
Every fixture stores its own raw ``request``, so a change to the hashing scheme
in ``shared/replay_client.py`` can be applied to the whole corpus *offline* —
no API credentials, no re-recording, and the recorded responses are never
touched... | nitin27may/e-commerce-agents | agents/python/evals/rehash_fixtures.py | .py | ac30645b5aa5e493 | 7.66 | 20 |
"""Deterministic groundedness scorer, built on Phase 2's grounding verifier.
Replaces the old ``AgentEvaluator._score_groundedness`` (evaluator.py),
which returned 1.0 whenever any tool was called — never comparing response
content to what the tool actually returned, so a fabricated price scored
identically to a real ... | nitin27may/e-commerce-agents | agents/python/evals/scorers/db_groundedness.py | .py | 6ce0ffdd3f2400c7 | 7.66 | 20 |
"""Inventory & Fulfillment agent definition.
When ``settings.MCP_ENABLED`` is True the agent connects to the Inventory MCP
server (``ecommerce_mcp_inventory.server``) via ``MCPStreamableHTTPTool`` instead
of calling asyncpg directly. Both modes expose the same capabilities.
"""
from agent_framework import Agent
from ... | nitin27may/e-commerce-agents | agents/python/inventory_fulfillment/agent.py | .py | e488c8ea92d95f02 | 7.66 | 20 |
"""Normalized orchestration event protocol.
Five orchestration mechanisms will exist behind the mode registry
(``orchestrator/modes/``, Phase 1.2): the plain tool router, MAF's
``HandoffBuilder``, MAF ``WorkflowBuilder`` graphs (fan-out/fan-in,
declarative YAML), and eventually a magentic manager. Each emits its own
n... | nitin27may/e-commerce-agents | agents/python/orchestrator/events.py | .py | 2873e958297d0864 | 7.66 | 20 |
"""MAF Handoff workflow for the orchestrator → specialist mesh.
This is the ``handoff`` alternative to the ``tool``-mode
``call_specialist_agent`` tool router. ``orchestrator/modes/handoff_mode.py``
wraps :func:`build_orchestrator_handoff_workflow` and is what makes this
reachable from a live request — via ``mode="han... | nitin27may/e-commerce-agents | agents/python/orchestrator/handoff.py | .py | 3fbffc7c666c93b5 | 7.66 | 20 |
"""Orchestration mode registry.
``/api/chat`` and ``/api/chat/stream`` no longer hardcode "build the
tool-router agent and run it" — they resolve a mode name to an
:class:`OrchestrationMode` and call its ``run()``. This is what makes the
capstone's flagship claim true: the same domain, run through the plain LLM
tool r... | nitin27may/e-commerce-agents | agents/python/orchestrator/modes/__init__.py | .py | 4385cdad4944580c | 7.66 | 20 |
"""``OrchestrationMode`` protocol + the request-scoped context every mode's ``run()`` takes.
Identity (user email/role/session) is deliberately *not* on ``RunContext`` —
this repo's convention is ContextVars (``shared/context.py``), read directly
by whatever needs them (tools, ``call_specialist_agent``, A2A header
bui... | nitin27may/e-commerce-agents | agents/python/orchestrator/modes/base.py | .py | caff64e4a1df509b | 7.66 | 20 |
"""``group-chat`` mode: sequential round-table debate over a shared transcript.
Wraps ``workflows/group_chat.py``'s ``GroupChatWorkflow`` — per the audit,
exercised only with synthetic sync responders in its own tests. This is
the first production caller: two agent-backed panelists (a value/pricing
perspective and a q... | nitin27may/e-commerce-agents | agents/python/orchestrator/modes/group_chat_mode.py | .py | 25507a5929e83870 | 7.66 | 20 |
"""``handoff`` mode: MAF ``HandoffBuilder`` mesh over the same specialists.
Wraps ``orchestrator/handoff.py::build_orchestrator_handoff_workflow`` —
already built, already tested (``tests/test_handoff_orchestration.py``),
never previously reachable from a live request. This is the first thing
that reaches it: ``ORCHES... | nitin27may/e-commerce-agents | agents/python/orchestrator/modes/handoff_mode.py | .py | a613274c3d28d680 | 7.66 | 20 |
"""``workflow:pre-purchase`` and ``workflow:return-replace`` modes.
Wraps the already-built, already-tested MAF ``WorkflowBuilder`` graphs in
``workflows/pre_purchase.py`` (concurrent fan-out/fan-in) and
``workflows/return_replace.py`` (sequential with an in-workflow HITL
gate) — per the audit, previously reachable on... | nitin27may/e-commerce-agents | agents/python/orchestrator/modes/workflow_mode.py | .py | c60abecb87b581d3 | 7.66 | 20 |
"""Orchestration introspection routes — mode listing, graphs, comparison, resume.
``GET /modes`` and ``GET /modes/{name}/graph`` read the real mode
registry (``orchestrator/modes/``) — Phase 1.2 wired five modes into it;
this route just has to ask, not hardcode a list that drifts out of sync
with what ``/api/chat`` ca... | nitin27may/e-commerce-agents | agents/python/orchestrator/routes/orchestration.py | .py | 177984935b608fe4 | 7.66 | 20 |
"""JWKS-based token verifier for this server's OAuth 2.1 resource-server mode.
Vendored, not shared: ``ecommerce-mcp-inventory`` is an isolated uv workspace
member that never imports ``shared/`` (it's independently installable /
publishable — see the design doc's correction #7). The main app's
identical-in-spirit ``sh... | nitin27may/e-commerce-agents | agents/python/packages/mcp-inventory/src/ecommerce_mcp_inventory/auth.py | .py | cf27fb83667a705c | 7.66 | 20 |
"""Omni Body App Adapter interface.
This module defines the tool-facing adapter contract only. It is not an agent
planner and does not decide tasks. Each adapter exposes deterministic actions
that omni_body can route to after the adapter is implemented by the host.
"""
from __future__ import annotations
from typing im... | simahanfeng007-lgtm/Tiangongzaowu-V3 | app/backend/tiangong-backend/_internal/omni_body_skill/adapters/base.py | .py | 51f882c8b9e779c5 | 7.52 | 10 |
"""MCP (Model Context Protocol) client for omni_body actions.
v1 设计（2026-08-22，"作 omni_body action 接入"方案）：
- **安全边界**：服务器进程只能来自用户管理的
``~/.tiangong/v3/mcp_servers.json``——模型只能引用已配置的服务器名，
绝不能自造命令行。配置文件是唯一的 spawn 授权面。
- **权限链全复用**：mcp.tool.call 注册为 A3，走网关既有确认链；
mcp.servers.list / mcp.tools.list 为 A0 只读。
- **进程生命周期... | simahanfeng007-lgtm/Tiangongzaowu-V3 | app/backend/tiangong-backend/_internal/omni_body_skill/tools/mcp_client.py | .py | 96be58fd93705a20 | 7.52 | 10 |
"""Cross-platform text decoding and newline normalization.
The runtime never silently replaces undecodable bytes. It accepts canonical
UTF-8 first, explicit Unicode BOM formats second, and a small allowlist of
legacy Windows encodings only for subprocess output or imported user files.
Every non-UTF-8 decode is report... | simahanfeng007-lgtm/Tiangongzaowu-V3 | app/backend/tiangong-backend/_internal/omni_body_skill/tools/portable_text.py | .py | d581889f48afe4af | 7.52 | 10 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""apt installer: detect packages, PRINT the apt-get line. Never sudo."""
from __future__ import annotations
from ..outcome import Outcome
from ..recipe import Item, Target
from .base import _run_bootstrap, level_fo... | AMD-AGI/Infera | agent_sys/env_mgr/installers/apt.py | .py | 051326d5a5c099a5 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""Installer protocol + shared command/version helpers."""
from __future__ import annotations
import re
import subprocess
from typing import Protocol, runtime_checkable
from ..outcome import Outcome
from ..recipe i... | AMD-AGI/Infera | agent_sys/env_mgr/installers/base.py | .py | ee22c6f6a4938c74 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""bin installer: install one executable via a command; probe via check_cmd."""
from __future__ import annotations
from ..outcome import Outcome
from ..recipe import Item, Target
from ..versions import satisfies
fro... | AMD-AGI/Infera | agent_sys/env_mgr/installers/bin.py | .py | 34408ce6c33f89fc | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""claude installer: install Claude Code plugins."""
from __future__ import annotations
from ..outcome import Outcome
from ..recipe import Item, Target
from .base import _run_bootstrap, level_for_missing, run_cmd
... | AMD-AGI/Infera | agent_sys/env_mgr/installers/claude.py | .py | d4a8cf72c26a3d87 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""embed installer: a multi-line script body, optionally gated by check_cmd."""
from __future__ import annotations
from ..recipe import Item
from .base import ShellInstaller
class EmbedInstaller(ShellInstaller):
... | AMD-AGI/Infera | agent_sys/env_mgr/installers/embed.py | .py | b8cb87686c2e6fd0 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""uv installer: ref form (uv pip install -e) and tool form (uv tool install)."""
from __future__ import annotations
from pathlib import Path
from ..outcome import Outcome
from ..recipe import Item, Target
from .ba... | AMD-AGI/Infera | agent_sys/env_mgr/installers/uv.py | .py | c69a116d3a396dbc | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""Outcome — the result of running one stage against one item."""
from __future__ import annotations
from collections.abc import Iterable
from dataclasses import dataclass, field
from typing import Any
# Severity a... | AMD-AGI/Infera | agent_sys/env_mgr/outcome.py | .py | 5a88b6481d565992 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""Render Outcomes for humans and machines."""
from __future__ import annotations
import json
from .outcome import Outcome
_ICON = {"ok": "OK ", "info": "INFO", "warn": "WARN", "fail": "FAIL"}
def render_human(o... | AMD-AGI/Infera | agent_sys/env_mgr/report.py | .py | fd11ec02c6498ddb | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""Runner: select items, detect conflicts, dispatch stages, roll up status."""
from __future__ import annotations
from collections import defaultdict
from dataclasses import dataclass, field
from .outcome import Ou... | AMD-AGI/Infera | agent_sys/env_mgr/runner.py | .py | 2464285f2bb592c1 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
"""Version constraint handling. Thin wrapper over `packaging`."""
from __future__ import annotations
from packaging.specifiers import InvalidSpecifier, SpecifierSet
from packaging.version import InvalidVersion, Vers... | AMD-AGI/Infera | agent_sys/env_mgr/versions.py | .py | 5fdf71019b5ea6e5 | 7.64 | 18 |
"""The agent collection.
Two of them: the **spec table** of what kinds of agent exist, and the
**instances** of what has been created. Only the instances persist — the spec
table is configuration, and restoring it would resurrect a spec the operator
has since removed.
"""
from typing import Any
from task_graph.ids i... | AMD-AGI/Infera | agent_sys/task_graph/agent.py | .py | ced0265d307566fd | 7.64 | 18 |
"""The composition root.
The only module that imports every manager. Registration order is free —
components resolve at use time, not construction time — so this reads top-down
for a human rather than being constrained by dependencies.
"""
from collections.abc import Sequence
from task_graph.agent import AgentMgr
fr... | AMD-AGI/Infera | agent_sys/task_graph/bootstrap.py | .py | e16ccca38bd9ac3e | 7.64 | 18 |
"""The handoff collection.
The mgr decides nothing. Version bookkeeping belongs to `Handoff` and the
transition belongs to `HandoffVersion`; what is left here is add / get / query
and durability.
"""
from collections.abc import Iterable
from task_graph.ids import HandoffId, TaskId
from task_graph.models import Hando... | AMD-AGI/Infera | agent_sys/task_graph/handoff.py | .py | 0c1da3aa52280960 | 7.64 | 18 |
"""Typed identities.
A ``TaskId`` and a ``HandoffId`` built from the same bytes are different values.
``typing.NewType`` would give that statically and erase at runtime, so the two
would still compare equal and collide in one dict; subclassing ``uuid.UUID``
gives both, and generation, parsing and formatting come from ... | AMD-AGI/Infera | agent_sys/task_graph/ids.py | .py | 4ca8ef6e819da344 | 7.64 | 18 |
"""Ordering the eligible set — the one scheduling decision in the system.
No graph algorithm is required: the only graph operation anywhere is asking
whether a task's inputs are valid, and that is a query on the handoff.
"""
from typing import Protocol
from task_graph.ids import TaskId
from task_graph.models import ... | AMD-AGI/Infera | agent_sys/task_graph/policy.py | .py | f6fd16b521fc2a35 | 7.64 | 18 |
"""Component registry and the recovery protocol.
Components are registered by name and resolved at use time, never injected
through a constructor. That is what lets a test swap an implementation after
the system is wired, and it is what keeps the import graph acyclic: no manager
imports another manager.
"""
from typi... | AMD-AGI/Infera | agent_sys/task_graph/registry.py | .py | 76681b2b3417e3b8 | 7.64 | 18 |
"""Resource pools.
The one place inheritance appears. Renewable and consumable differ in *three*
behaviours — release, persistence, recovery — so a boolean flag would mean three
conditionals kept in agreement by hand.
"""
import logging
from abc import ABC, abstractmethod
from task_graph.registry import Registry
__... | AMD-AGI/Infera | agent_sys/task_graph/resource.py | .py | f384c2230cda15ea | 7.64 | 18 |
"""The runner seam.
What actually executes an agent is harness-specific and out of scope. What this
system owes is the interface, and a fake that lets the whole scheduler be tested
without one.
"""
from collections.abc import Callable
from typing import Any, Protocol
from task_graph.ids import TaskId
from task_graph... | AMD-AGI/Infera | agent_sys/task_graph/runner.py | .py | 635952f352d2b1db | 7.64 | 18 |
"""The task collection.
Durability and lookup. Transitions are the `Task`'s own, so there is no
`set_status` here — a caller does `task.status = X` and then `mgr.persist(tid)`.
"""
from task_graph.ids import TaskId
from task_graph.models import Task, TaskStatus
from task_graph.registry import Registry
__all__ = ["Ta... | AMD-AGI/Infera | agent_sys/task_graph/task.py | .py | 3c49236167433cb8 | 7.64 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
from env_mgr.outcome import Outcome, status_from, worst_level
def test_outcome_defaults_empty_details():
o = Outcome("ok", "present")
assert o.details == {}
def test_status_from_empty_is_ok():
assert s... | AMD-AGI/Infera | agent_sys/tests/env_mgr/test_outcome.py | .py | 68e3a5647a7a9d64 | 7.14 | 18 |
# SPDX-License-Identifier: MIT
# Copyright (c) 2026, Advanced Micro Devices, Inc. All rights reserved.
from env_mgr.versions import constraints_conflict, satisfies
def test_no_constraint_is_always_satisfied():
assert satisfies("1.0.0", None) is True
assert satisfies(None, None) is True
def test_missing_actu... | AMD-AGI/Infera | agent_sys/tests/env_mgr/test_versions.py | .py | 2d5f032b56cb7118 | 7.14 | 18 |
"""The authority boundary — criterion 14.
The scheduler decides *when*, never *what*. It never writes handoff state. This
is the one mechanical check that the boundary has not eroded: a spy HandoffMgr
logs every call, `produce` brackets its own writes with a marker, and the
assertion is that every write falls inside a... | AMD-AGI/Infera | agent_sys/tests/task_graph/test_authority.py | .py | 5535d70f62bb7ced | 8.14 | 18 |
"""The index invariant — criterion 12.
`_move` is the only thing that assigns `task.status` or mutates a pool, so the
index cannot disagree with the TaskMgr. This drives a long sequence of
operations and re-checks after every one.
"""
import logging
import random
from task_graph.models import TaskStatus
from task_gr... | AMD-AGI/Infera | agent_sys/tests/task_graph/test_invariants.py | .py | 7cadf3d0810eeb5f | 8.14 | 18 |
import os
import json
import shutil
import base64
def _create_items(items, current_dir):
for item in items:
item_name = item["name"]
item_type = item["type"]
item_path = os.path.join(current_dir, item_name)
if item_type == "folder":
os.makedirs(item_path, exist_ok=True)... | eclipse-autowrx/sdv-runtime | kuksa-syncer/project_utils.py | .py | 39e9c3361323a538 | 7.48 | 8 |
# Copyright (c) 2025 Eclipse Foundation.
#
# This program and the accompanying materials are made available under the
# terms of the MIT License which is available at
# https://opensource.org/licenses/MIT.
#
# SPDX-License-Identifier: MIT
"""
Subprocess wrapper for separate, unbuffered capturing / redirecting of stdo... | eclipse-autowrx/sdv-runtime | kuksa-syncer/subpiper/subpiper.py | .py | 052da15ff133e264 | 7.48 | 8 |
from __future__ import annotations
import json
import os
from pathlib import Path
from typing import Any
class PresetManager:
"""Manages creation, loading, saving and deletion of parameter presets."""
def __init__(self, preset_dir: str | Path = "C:/SnapdragonAI/presets") -> None:
self.preset_dir = P... | Kreuzhofen/snapdragon-ai-studio | app/preset_manager.py | .py | f916d3e33248d100 | 7.52 | 10 |
"""
HK NPU STUDIO
Application Adapter
Created by Holger Kreuzhofen
Phoenix UI
"""
class ApplicationAdapter:
"""Adapter for application-level operations used by controllers."""
def __init__(self, app):
self.app = app
def after(self, delay_ms, callback):
self.app.after(delay_ms, callback... | Kreuzhofen/snapdragon-ai-studio | controllers/application_adapter.py | .py | 54350ecd38119aef | 7.52 | 10 |
"""
HK NPU STUDIO
Batch Runtime Adapter
Created by Holger Kreuzhofen
Phoenix UI
"""
class BatchRuntimeAdapter:
"""Adapter for batch runtime operations."""
def __init__(self, app):
self.app = app
def get_waiting_job_count(self):
return self.app.controller.get_waiting_job_count()
de... | Kreuzhofen/snapdragon-ai-studio | controllers/batch_runtime_adapter.py | .py | 865bfe6944d3eb4f | 7.52 | 10 |
from __future__ import annotations
from app.i18n import tr
import time
from typing import Any
from controllers.generation_job import GenerationJob
from controllers.generation_result import GenerationResult
from engine.error_diagnostics import diagnose_exception
from engine.job_lifecycle import JobStatus, get_job_statu... | Kreuzhofen/snapdragon-ai-studio | controllers/generation_pipeline.py | .py | d389e17ac13f10a6 | 7.52 | 10 |
from __future__ import annotations
from uuid import UUID
from controllers.generation_job import GenerationJob
from engine.job_lifecycle import (
JobStatus,
TERMINAL_JOB_STATUSES,
cancel_job,
get_job_status,
set_job_status,
)
class GenerationQueue:
"""
Manages a queue of GenerationJobs in ... | Kreuzhofen/snapdragon-ai-studio | controllers/generation_queue.py | .py | 5e4623116ad89bb2 | 7.52 | 10 |
from __future__ import annotations
from dataclasses import dataclass, asdict
from typing import Any
from config import OUTPUT_DIR
@dataclass(frozen=True)
class PipelineParameters:
"""Immutable parameter contract shared by CPU, ONNX, and QNN pipelines."""
prompt: str
negative_prompt: str
model_name: s... | Kreuzhofen/snapdragon-ai-studio | controllers/generation_session.py | .py | 59d73fc5e7ef5313 | 7.52 | 10 |
from __future__ import annotations
import logging
import time
from pathlib import Path
from typing import Any, Callable
import config
from controllers.model_manager_model import ModelManagerModel
from engine.backends.backend_manager import BackendManager
from engine.backends.discovery_result import DiscoveryResult
fr... | Kreuzhofen/snapdragon-ai-studio | controllers/model_manager_controller.py | .py | 83103c34f80cfcbb | 7.52 | 10 |
from __future__ import annotations
from typing import Any
from controllers.model_repository import ModelRepository
class ModelManagerModel:
"""
Model representing the state of the Model Manager.
Delegates all metadata storage and retrieval to ModelRepository.
"""
def __init__(self, repository: M... | Kreuzhofen/snapdragon-ai-studio | controllers/model_manager_model.py | .py | 307d477d79ebe5be | 7.52 | 10 |
from __future__ import annotations
import datetime
from dataclasses import dataclass
from typing import Any
from controllers.model_repository import ModelRepository
from controllers.generation_result import GenerationResult
@dataclass
class WorkflowState:
"""
State representing shared parameters across vario... | Kreuzhofen/snapdragon-ai-studio | controllers/workflow_controller.py | .py | 3cac0e3437824420 | 7.52 | 10 |
"""
HK NPU STUDIO
Help Dialog
Created by Holger Kreuzhofen
Phoenix UI
"""
from __future__ import annotations
import tkinter as tk
from pathlib import Path
from app.i18n import get_current_language, tr
from dialogs.studio_dialog import StudioDialog
from engine.brand_manager import BrandManager
from widgets.phoenix.... | Kreuzhofen/snapdragon-ai-studio | dialogs/help_dialog.py | .py | 7a85d51f2be500a0 | 7.52 | 10 |
from __future__ import annotations
import tkinter as tk
from tkinter import ttk
import threading
import subprocess
import shutil
import os
import re
import logging
from typing import Callable
from pathlib import Path
from app.i18n import tr
from dialogs.studio_dialog import StudioDialog
from engine.brand_manager impo... | Kreuzhofen/snapdragon-ai-studio | dialogs/qwen_setup_dialog.py | .py | b08d15fd2aa6b8e6 | 7.52 | 10 |
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