Whisper / app.py
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Update app.py
7a6e1cb
from transformers import pipeline
import gradio as gr
from pytube import YouTube
import os
pipe = pipeline(model="afroanton/whisper-small-sv-SE") # change to "your-username/the-name-you-picked"
def transcribe(audio):
text = pipe(audio)["text"]
return text
def transcribeUrl(url):
yt = YouTube(str(url))
audio = yt.streams.filter(only_audio=True).first()
text = pipe(audio)["text"]
return text
video_demo = gr.Interface.load(
fn=transcribeUrl,
inputs=gr.Textbox(
label="insert URL",
lines=3,
value="The fast brown fox jumps over lazy dogs.",
),
outputs="text",
title="Whisper Small Swedish",
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
)
voice_demo = gr.Interface(
fn=transcribe,
inputs=gr.Audio(source="microphone", type="filepath"),
outputs="text",
title="Whisper Small Swedish",
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
)
demo = gr.TabbedInterface([voice_demo, video_demo], ["voice to text", "video to text"])
demo.launch()