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| import torch | |
| from transformers import pipeline | |
| import gradio as gr | |
| import os | |
| from pytube import YouTube | |
| # from googletrans import Translator | |
| # use model with improved learning rate which yielded better performance | |
| pipe = pipeline(model="daniel-rdt/whisper-lt-finetune") | |
| def transcribe_url_yt(yt_url): | |
| # load youtube video url | |
| video = YouTube(str(yt_url)) | |
| # filter to include audio only | |
| audio = video.streams.filter(only_audio=True)[0].download("yt_audio") | |
| # get corresponding thumbnail and title | |
| thumbnail = video.thumbnail_url | |
| title = video.title | |
| # make text transcription using transformer pipeline | |
| text = pipe(audio)["text"] | |
| # remove stored audio file from disk | |
| os.remove(audio) | |
| # # text translation | |
| # translator = Translator() | |
| # translation = translator.translate(text, src='lt') | |
| return text, title, thumbnail #, translation.text | |
| def transcribe_microphone(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| with gr.Blocks() as url: | |
| with gr.Row(): | |
| with gr.Column(): | |
| yt_url = gr.Textbox(label="Paste YouTube link to e.g. lithuanian news video \n (recommended test link https://www.youtube.com/watch?v=9JsBg3pTp8I):") | |
| transcribe_btn = gr.Button(value="Transcribe") | |
| with gr.Column(): | |
| news_text = gr.Textbox(label="Transcribed first paragraph of video:") | |
| # with gr.Column(): | |
| # translated_text = gr.Textbox(label="First paragraph translation into English:") | |
| with gr.Row(): | |
| with gr.Column(): | |
| yt_title = gr.Textbox(label="Title of the (News) Video") | |
| with gr.Column(): | |
| yt_thumbnail = gr.Image() | |
| transcribe_btn.click(transcribe_url_yt, inputs=yt_url, outputs=[news_text, yt_title, yt_thumbnail])#, translated_text]) | |
| with gr.Blocks() as mike: | |
| with gr.Column(): | |
| mike_input = gr.Audio(source="microphone", label="Speak into the microphone.", type="filepath") | |
| transcribe_btn = gr.Button(value="Transcribe") | |
| with gr.Column(): | |
| text = gr.Textbox(label="Transcription:") | |
| # with gr.Column(): | |
| # translated_text = gr.Textbox(label="First paragraph translation into English:") | |
| transcribe_btn.click(transcribe_microphone, inputs=mike_input, outputs=[text]) | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # Whisper Model fine-tuned to transcribe Lithuanian | |
| Real time demo that can either transcribe from e.g. a Lithuanian News video YouTube URL to text or directly from microphone input. | |
| """ | |
| ) | |
| gr.TabbedInterface([url, mike], ["Transcribe Youtube-URL", "Transcribe Audio"]) | |
| demo.launch() |