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sdk: gradio
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sdk_version: 6.19.0
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python_version:
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app_file: app.py
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title: Plotweaver Nigerian Voice
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emoji: 🗣️
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sdk: gradio
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sdk_version: 6.19.0
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python_version: "3.10"
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app_file: app.py
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license: cc-by-nc-4.0
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# Plotweaver Nigerian Voice
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Nigerian-English text-to-speech, fine-tuned from [F5-TTS](https://github.com/SWivid/F5-TTS)
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by Plotweaver AI.
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Two modes:
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- **Nigerian Voice** — type text and hear it in the fine-tuned Nigerian-English voice.
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- **Clone a Voice** — upload a short reference clip and generate speech in that voice
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(transcript optional; auto-transcribed with Whisper when left blank).
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Runs on free CPU hardware, so generation takes ~30–90+ seconds per request.
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Research / non-commercial use only (base F5-TTS is CC-BY-NC-4.0).
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## Configuration notes
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- `python_version: "3.10"` is pinned so `torch==2.4.0` (the tested training/inference
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version) resolves. On Python 3.13 that wheel doesn't exist — bump torch to 2.5.1.
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- `sdk_version: 6.19.0` controls Gradio; do not also pin `gradio` in `requirements.txt`.
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- `HF_TOKEN` must be set as a Space **secret** with read access to the private model
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repo `PlotweaverAI/nigerian-english-ft-tts`.
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- Optional `F5TTS_ARCH` variable (defaults to `F5TTS_v1_Base`) if the checkpoint was
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fine-tuned from a different base.
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