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Update app.py

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  1. app.py +1 -3
app.py CHANGED
@@ -659,9 +659,7 @@ For Basic TTS under ~100 tokens or characters, only a few seconds of audio need
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  ZeroGPU catches up beyond 100 tokens and especially closer to the ~500 token context window. Long Form mode processes batches of 100 segments at a time, so the GPU should outspeed the CPU by 1-2 orders of magnitude.
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  ### Compute
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- The model was trained on 1x A100-class 80GB instances rented from [Vast.ai](https://cloud.vast.ai/?ref_id=79907).<br/>
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- Vast was chosen over other compute providers due to its competitive on-demand hourly rates.<br/>
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- The average hourly cost for the 1x A100-class 80GB VRAM instances used for training was below $1/hr — around half the quoted rates from other providers.
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  ### Gradio API
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  The API has been restricted due to high request volume impacting CPU latency.
 
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  ZeroGPU catches up beyond 100 tokens and especially closer to the ~500 token context window. Long Form mode processes batches of 100 segments at a time, so the GPU should outspeed the CPU by 1-2 orders of magnitude.
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  ### Compute
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+ Kokoro v0.19 was trained on A100 80GB vRAM instances for approximately 500 total GPU hours. The average cost for each GPU hour was around $0.80, so the total cost was around $400.
 
 
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  ### Gradio API
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  The API has been restricted due to high request volume impacting CPU latency.