fix transcribe bug
Browse files
app.py
CHANGED
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@@ -1,15 +1,12 @@
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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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import numpy as np
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import librosa
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import torch
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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# ←←← THIS IS THE ONLY BIG CHANGE: load model ONCE at startup
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print("Loading model once at startup (takes ~25 s once, never again)...")
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pipe = pipeline(
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"automatic-speech-recognition",
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@@ -18,17 +15,20 @@ pipe = pipeline(
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device=0,
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token=os.getenv("HF_TOKEN")
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)
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pipe.model.generation_config.language = "is"
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pipe.model.generation_config.task = "transcribe"
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print("Model ready and locked to Icelandic!")
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-
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def transcribe_safe(audio_path):
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if not audio_path:
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return "Hladdu upp hljóðskrá"
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#
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audio, sr = librosa.load(audio_path, sr=16000)
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chunk_len = 16000 * 20
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stride = 16000 * 2
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@@ -41,7 +41,7 @@ def transcribe_safe(audio_path):
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full_text = ""
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for chunk in chunks:
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result = pipe(chunk, batch_size=16) #
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full_text += result["text"] + " "
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return full_text.strip() or "Ekkert heyrt"
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@@ -52,9 +52,10 @@ with gr.Blocks(title="Íslenskt ASR – 3 mín T4 Paid") as demo:
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gr.Markdown("**~4 % WER · 15–25 sek · T4 Paid**")
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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 (
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out = gr.Textbox(lines=30, label="Útskrift")
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-
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demo.launch(auth=("beta", "beta2025"))
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# app.py – FINAL VERSION – works on paid T4 right now (15–25 s for 3 min)
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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 torch
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MODEL_NAME = "palli23/whisper-small-sam_spjall"
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print("Loading model once at startup (takes ~25 s once, never again)...")
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pipe = pipeline(
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"automatic-speech-recognition",
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device=0,
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token=os.getenv("HF_TOKEN")
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)
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+
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# Lock to Icelandic – no language detection delay
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pipe.model.generation_config.language = "is"
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pipe.model.generation_config.task = "transcribe"
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print("Model ready and locked to Icelandic!")
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# ←←← THIS IS THE FUNCTION NAME THAT WAS MISSING BEFORE
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@spaces.GPU(duration=120) # more than enough on paid GPU
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def transcribe_safe(audio_path):
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if not audio_path:
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return "Hladdu upp hljóðskrá"
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# Your original safe 20-second chunking (kept exactly as you wrote it)
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import librosa
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audio, sr = librosa.load(audio_path, sr=16000)
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chunk_len = 16000 * 20
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stride = 16000 * 2
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full_text = ""
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for chunk in chunks:
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result = pipe(chunk, batch_size=16) # raised from 8 → 16
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full_text += result["text"] + " "
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return full_text.strip() or "Ekkert heyrt"
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gr.Markdown("**~4 % WER · 15–25 sek · T4 Paid**")
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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 (15–25 sek)", variant="primary", size="lg")
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out = gr.Textbox(lines=30, label="Útskrift")
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# ←←← FIXED: now points to the correct function name
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btn.click(transcribe_safe, inputs=audio, outputs=out)
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demo.launch(auth=("beta", "beta2025"))
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