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import os
import gradio as gr
from transformers import pipeline
from pytube import YouTube
pipe = pipeline(model="Manbearpig01/whisper-small-hi")
#https://www.youtube.com/watch?v=IagbSHyZ5iA
def yt(link):
yt = YouTube(link)
stream = yt.streams.filter(only_audio=True)[0]
stream.download(filename="audio.mp4")
text = pipe("audio.mp4")["text"]
return text
def transcribe(audio):
text = pipe(audio)["text"]
return text
demo = gr.Blocks()
iface = gr.Interface(
fn=transcribe,
inputs=gr.Audio(source="microphone", type="filepath"),
outputs="text",
title="Whisper Small Swedish-Microphone",
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model. An audio for recognize.",
)
yt = gr.Interface(
fn=yt,
inputs=[gr.inputs.Textbox(lines=1, label="Youtube URL")],
outputs=["text"],
title="Whisper Small Swedish-Youtube",
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model. A Youtube URL for recognize. Suggest link1: https://www.youtube.com/watch?v=IagbSHyZ5iA link2:https://www.youtube.com/watch?v=gjvOMoDf4-4"
)
with demo:
gr.TabbedInterface([iface, yt], ["Transcribe Audio", "Transcribe YouTube"])
demo.launch(enable_queue=True)
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