Commit ·
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Parent(s):
first commit
Browse files- .gitignore +23 -0
- README.md +21 -0
- app.py +20 -0
- assets/.gitkeep +1 -0
- custom_nodes/.gitkeep +1 -0
- docs/deployment-plan.md +183 -0
- packages.txt +2 -0
- requirements.txt +5 -0
- scripts/.gitkeep +1 -0
- workflows/.gitkeep +1 -0
.gitignore
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__pycache__/
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*.py[cod]
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.env
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.venv/
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venv/
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# Runtime directories created by the Space bootstrap.
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ComfyUI/
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models/
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outputs/
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tmp/
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# Hugging Face and model caches should stay outside git.
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.cache/
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hf_cache/
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# Local media samples and generated artifacts.
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*.mp3
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*.wav
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*.mp4
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*.mov
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*.mkv
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*.srt
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README.md
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---
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title: VoiceGate
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emoji: ""
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colorFrom: blue
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colorTo: green
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sdk: gradio
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python_version: "3.10"
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app_file: app.py
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hardware: zerogpu
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pinned: false
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---
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# VoiceGate HF Space
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This repository is the Hugging Face Space deployment wrapper for VoiceGate.
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The upstream VoiceGate project and its ComfyUI workflow are kept under `VoiceGate/`
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for now. The Space runtime will be built around Gradio, ComfyUI, and the
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VoiceBridge custom nodes.
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Current status: planning and deployment scaffolding.
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app.py
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import gradio as gr
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def placeholder():
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return (
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"VoiceGate HF Space scaffold is ready. "
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"The ComfyUI runtime and workflow client will be wired in the next step."
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)
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with gr.Blocks(title="VoiceGate") as demo:
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gr.Markdown("# VoiceGate")
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gr.Markdown("Hugging Face Space deployment scaffold for the VoiceGate ComfyUI workflow.")
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run = gr.Button("Check scaffold")
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output = gr.Textbox(label="Status")
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run.click(fn=placeholder, outputs=output)
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if __name__ == "__main__":
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demo.launch()
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assets/.gitkeep
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custom_nodes/.gitkeep
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docs/deployment-plan.md
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# VoiceGate HF Space Deployment Plan
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## Goal
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Deploy VoiceGate to a Hugging Face Space with a Gradio interface, using ZeroGPU
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for the GPU-heavy inference path.
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The initial target is a short-audio workflow that proves the full chain:
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audio input -> source separation -> ASR/SRT -> LLM translation -> VoxCPM TTS ->
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SRT-aligned audio merge -> audio and subtitle outputs.
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## Repository Roles
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Use three clear ownership boundaries:
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- `VoiceGate`: upstream project assets, README, diagrams, and source workflows.
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- `comfyui_voicebridge`: the VoiceBridge ComfyUI custom node repository.
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- `VoiceGate-hf`: this repository, the Hugging Face Space deployment wrapper.
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The Space repository should not depend on nested git repositories at runtime.
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For deployment, copy or vendor only the required workflow files, custom nodes,
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bootstrap scripts, and Gradio application code into the Space layout.
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Current local state:
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- The outer `VoiceGate-hf` repository has no commits yet.
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- `VoiceGate/` is present as a nested upstream repository.
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- `VoiceGate/.gitmodules` references `comfyui_voicebridge`, but the local
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`VoiceGate/comfyui_voicebridge/` directory is currently empty.
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- `VoiceGate/workflows/VoiceGate-Workflow.json` is the UI workflow.
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- `VoiceGate/workflows/VoiceGate-Workflow_api.json` exists, but currently fails
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JSON parsing and must be re-exported or repaired before API execution.
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## Hugging Face Space Constraints
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ZeroGPU Spaces are intended for Gradio SDK Spaces. The Gradio app should expose
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a normal `app.py`, and GPU-heavy functions should be wrapped with `@spaces.GPU`.
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This means the first implementation should prefer:
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- Gradio Space root files: `README.md`, `app.py`, `requirements.txt`,
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`packages.txt`.
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- A Python bootstrap that installs or prepares ComfyUI and custom nodes.
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- A workflow client that calls the local ComfyUI API from inside the Gradio
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handler.
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Avoid starting with a Docker Space for ZeroGPU, even though Docker would be a
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cleaner fit for a long-running ComfyUI service.
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## Proposed Space Layout
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```text
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VoiceGate-hf/
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|-- README.md
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|-- app.py
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|-- requirements.txt
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|-- packages.txt
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|-- scripts/
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| |-- bootstrap_comfy.py
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| |-- run_comfy.py
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| `-- workflow_client.py
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|-- workflows/
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| |-- voicegate_api.json
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| `-- voicegate_ui.json
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|-- custom_nodes/
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| `-- comfyui_voicebridge/
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|-- assets/
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`-- docs/
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`-- deployment-plan.md
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```
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The current repository has only the root scaffold and this plan. The later
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steps should move/copy deployment-ready workflow files into `workflows/` and
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custom nodes into `custom_nodes/`.
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## Known Workflow Nodes
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The API workflow references these important node classes:
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- `LoadAudio`
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- `MelBandRoFormerModelLoader`
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- `MelBandRoFormerSampler`
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- `VoiceBridgeASRLoader`
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- `VoiceBridgeASRTranscribe`
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- `GenerateSRT`
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- `RH_LLMAPI_NODE`
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- `VoiceBridgeSRTSplitter`
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- `RunningHub_VoxCPM_LoadModel`
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- `RunningHub_VoxCPM_Generate`
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- `VoiceBridgeAudioListMergerBySRT`
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- `MergeAudioMW`
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- `SaveAudioMP3`
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- `SaveSRTFromString`
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- `TrimAudioDuration`
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- `Any Switch (rgthree)`
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- `easy showAnything`
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- `easy string`
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- `CR Text`
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- `ReplaceText`
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This implies dependencies on VoiceBridge, VoxCPM/RunningHub nodes,
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MelBandRoFormer nodes/models, rgthree, easy-use, and the LLM API node package.
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## Model and Secret Inventory
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Expected model assets:
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- `Qwen/Qwen3-ASR-1.7B`
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- `Qwen/Qwen3-ForcedAligner-0.6B`
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- `VoxCPM2`
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- `MelBandRoFormer_comfy/MelBandRoformer_fp32.safetensors`
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Expected Space secrets:
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- `HF_TOKEN`, if private or gated model downloads are needed.
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- `DEEPSEEK_API_KEY` or another LLM provider key.
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- Optional LLM base URL and model name configuration.
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Do not commit model weights, API keys, generated audio, or generated subtitles.
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## Implementation Phases
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### Phase 1: Scaffold and Planning
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Done in this step:
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- Add HF Space root files.
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- Add minimal Gradio placeholder.
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- Add deployment plan.
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- Add ignore rules for runtime and generated artifacts.
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### Phase 2: Runtime Bootstrap
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Create scripts that can:
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- Clone or install ComfyUI.
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- Install Python dependencies.
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- Install required custom nodes at pinned commits.
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- Download or locate required model files.
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- Start ComfyUI locally inside the Space process.
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### Phase 3: Workflow Hygiene
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Repair or re-export `VoiceGate-Workflow_api.json` so it is valid API JSON.
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Required edits:
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- Remove stale demo file references.
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- Replace hard-coded audio filenames with Gradio-uploaded input paths.
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- Replace empty API keys with environment variables.
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- Parameterize target language, LLM model, and provider base URL.
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- Ensure output nodes produce deterministic file paths.
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### Phase 4: Gradio Integration
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Build the first real interface:
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- Input audio file.
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- Target language selector/text input.
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- Source language, default `auto`.
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- Optional prompt override.
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- Output audio.
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- Output translated/adjusted SRT.
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- Runtime log.
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Wrap the end-to-end function with `@spaces.GPU(duration=...)` and start with a
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short maximum input duration.
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### Phase 5: Verification
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Verify in this order:
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1. ComfyUI starts and exposes its local API.
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2. TTS-only minimal workflow runs.
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3. ASR-only short audio workflow runs.
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4. SRT splitter + VoxCPM + merger runs.
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5. Full VoiceGate short-audio workflow runs.
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| 178 |
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6. Video input support is added after the audio path is stable.
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## Immediate Next Step
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| 181 |
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| 182 |
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Prepare the runtime bootstrap scripts and decide whether to vendor custom nodes
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into `custom_nodes/` or download pinned commits during Space startup.
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packages.txt
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ffmpeg
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git
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requirements.txt
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gradio
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spaces
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requests
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websocket-client
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huggingface_hub
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scripts/.gitkeep
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workflows/.gitkeep
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