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| from pytube import YouTube | |
| from transformers import pipeline | |
| import gradio as gr | |
| import os | |
| pipe = pipeline(model = "Valdimarb13/whisper-small-icelandic") | |
| def transcribe(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| def get_audio(url): | |
| yt = YouTube(url) | |
| video = yt.streams.filter(only_audio=True).first() | |
| out_file=video.download(output_path=".") | |
| base, ext = os.path.splitext(out_file) | |
| new_file = base+'.mp3' | |
| os.rename(out_file, new_file) | |
| a = new_file | |
| return a | |
| def get_text(url): | |
| text = pipe(get_audio(url))["text"] | |
| return text | |
| with gr.Blocks() as demo: | |
| with gr.Tab('Enter the URL of a video with Icelandic speech to get a transcription'): | |
| with gr.Row(): | |
| input_text = gr.Textbox(placeholder='Enter the Youtube video URL', label='URL') | |
| output_text = gr.Textbox(placeholder='Transcription of the video', label='Transcription') | |
| youtube_button = gr.Button('Get Transcription') | |
| with gr.Tab("Speak into the microphone to get a transcription"): | |
| with gr.Row(): | |
| input_speech = gr.Audio(source="microphone", type="filepath") | |
| output_speech = gr.Textbox("Transcribed audio") | |
| speech_button = gr.Button("Submit") | |
| youtube_button.click(get_text, inputs = input_text, outputs = output_text) | |
| speech_button.click(transcribe, inputs = input_speech, outputs = output_speech) | |
| demo.launch() |