rollback 2 days
Browse files
app.py
CHANGED
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@@ -1,3 +1,4 @@
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import os
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import gradio as gr
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import spaces
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@@ -5,40 +6,39 @@ from transformers import pipeline
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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def transcribe_3min(audio_path):
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if not audio_path:
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return "Hladdu upp hljóðskrá"
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# Whisper pipeline með chunking – ZeroGPU öruggt
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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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torch_dtype="float16", # ← NEW: FP16 instead of FP32
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# ← REMOVED: use_flash_attention_2 (causes TypeError on this model)
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)
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result = pipe(
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audio_path,
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chunk_length_s=30,
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return_timestamps=False,
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)
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return result["text"]
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# Interface
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with gr.Blocks(title="Íslenskt ASR – 3 mín") as demo:
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gr.Markdown("# Íslenskt
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gr.Markdown("
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audio = gr.Audio(type="filepath", label="Hladdu upp .mp3 / .wav (allt að 3 mín)")
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btn = gr.Button("Transcribe", variant="primary", size="lg")
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out = gr.Textbox(lines=30, label="Útskrift")
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demo.launch(
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app.py – virkar 100% á ZeroGPU (og venjulegum GPU líka)
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import os
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import gradio as gr
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import spaces
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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# Látum mótið hlaðast EINUSINNI þegar appið ræsist (ekki í hverju kall)
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print("Hleð Whisper módelinu einu sinni...")
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pipe = pipeline(
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"automatic-speech-recognition",
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model=MODEL_NAME,
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torch_dtype="auto",
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device_map="auto", # þetta er lykillinn fyrir ZeroGPU
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token=os.getenv("HF_TOKEN")
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)
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print("Módel tilbúið!")
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@spaces.GPU(duration=120) # 2 mínútur nægja fyrir 3–4 mín hljóð
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def transcribe_3min(audio_path):
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if not audio_path:
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return "Hladdu upp hljóðskrá fyrst"
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result = pipe(
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audio_path,
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chunk_length_s=30,
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batch_size=8,
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return_timestamps=False,
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generate_kwargs={"language": "is", "task": "transcribe"}
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)
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return result["text"]
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with gr.Blocks(title="Íslenskt ASR – 3 mín") as demo:
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gr.Markdown("# Íslenskt Whisper – 3 mín hljóð á ZeroGPU")
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gr.Markdown("Hladdu upp allt að 3–4 mínútna hljóðskrá (mp3/wav). Virkar strax!")
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audio_in = gr.Audio(type="filepath", label="Hljóðskrá (max ~4 mín)")
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btn = gr.Button("Transcribe", variant="primary")
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text_out = gr.Textbox(lines=25, label="Útskrift")
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btn.click(transcribe_3min, inputs=audio_in, outputs=text_out)
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demo.launch()
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