Transcriber / app.py
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from transformers import pipeline
import gradio as gr
pipe = pipeline(model="ZinebSN/whisper-small-swedish-Test-3000") # change to "your-username/the-name-you-picked"
def transcribe(audio):
text = pipe(audio)["text"]
return text
iface = gr.Interface(
fn=transcribe,
inputs=gr.Audio(source="microphone", type="filepath"),
#gr.Text(label="URL (YouTube, etc.)"),
#gr.Audio(source="upload", type="filepath", label="Upload Audio")],
outputs="text",
title="Whisper Small Swedish",
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
)
iface.launch()