update3
Browse files
app.py
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# app.py –
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import os
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import gradio as gr
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import spaces
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from transformers import pipeline
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# ÞITT private model
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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# Þetta fall keyrir á GPU í ZeroGPU
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@spaces.GPU
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def
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if not
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return "Hladdu upp hljóðskrá"
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#
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pipe = pipeline(
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"automatic-speech-recognition",
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model=MODEL_NAME,
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device=0,
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token=os.getenv("HF_TOKEN")
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)
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return result["text"]
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#
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with gr.Blocks(title="Íslenskt ASR –
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gr.Markdown("# Íslenskt ASR – ZeroGPU (A100/T4)")
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gr.Markdown("
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btn = gr.Button("Transcribe (15–25 sek)", variant="primary", size="lg")
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out = gr.Textbox(lines=25, label="Útskrift")
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demo.launch(auth=("beta", "beta2025"))
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# app.py – Virkar á ZeroGPU – allt að 3 mínútur (180 sek)
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import os
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import gradio as gr
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import spaces
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from transformers import pipeline
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import numpy as np
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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@spaces.GPU
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def transcribe_long(audio_path):
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if not audio_path:
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return "Hladdu upp hljóðskrá"
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# Hlaða ASR á GPU (cached)
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pipe = pipeline(
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"automatic-speech-recognition",
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model=MODEL_NAME,
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device=0,
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token=os.getenv("HF_TOKEN")
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)
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# Chunkar – 30 sek + 2 sek overlap (besta niðurstaðan fyrir Whisper-small)
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chunk_length_s = 30
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stride_length_s = 2
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result = pipe(
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audio_path,
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chunk_length_s=chunk_length_s,
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stride_length_s=(stride_length_s, stride_length_s),
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return_timestamps=False,
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batch_size=8
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)
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return result["text"]
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# Gradio – fallegt og tilbúið fyrir 3 mín klippur
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with gr.Blocks(title="Íslenskt ASR – 3 mínútur") as demo:
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gr.Markdown("# Íslenskt ASR – ZeroGPU (A100/T4)")
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gr.Markdown("**Styður allt að 3 mínútna hljóðklippur · ~4 % WER · 25–45 sek transcribe**")
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audio = gr.Audio(
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type="filepath",
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label="Hladdu upp .mp3 / .wav / .m4a (allt að 3 mín)"
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)
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btn = gr.Button("Transcribe (25–45 sek)", variant="primary", size="lg")
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out = gr.Textbox(lines=30, label="Útskrift")
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btn.click(transcribe_long, inputs=audio, outputs=out)
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gr.Markdown("© 2025 – Einkaeign")
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demo.launch(auth=("beta", "beta2025"))
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