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import gradio as gr | |
import whisper | |
from pytube import YouTube | |
loaded_model = whisper.load_model("base") | |
current_size = 'base' | |
def inference(link): | |
yt = YouTube(link) | |
path = yt.streams.filter(only_audio=True)[0].download(filename="audio.mp4") | |
options = whisper.DecodingOptions(without_timestamps=True) | |
results = loaded_model.transcribe(path) | |
return results['text'] | |
def change_model(size): | |
if size == current_size: | |
return | |
loaded_model = whisper.load_model(size) | |
current_size = size | |
def populate_metadata(link): | |
yt = YouTube(link) | |
return yt.thumbnail_url, yt.title | |
title="Youtube Whisperer FelixLuoX" | |
description="Speech to text transcription of Youtube videos using OpenAI's Whisper" | |
block = gr.Blocks() | |
with block: | |
gr.HTML( | |
""" | |
<div style="text-align: center; max-width: 500px; margin: 0 auto;"> | |
<div> | |
<h1>Youtube Whisperer</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%"> | |
Speech to text transcription of Youtube videos using OpenAI's Whisper | |
</p> | |
</div> | |
""" | |
) | |
with gr.Group(): | |
with gr.Box(): | |
sz = gr.Dropdown(label="Model Size", choices=['base','small', 'medium', 'large'], value='base') | |
link = gr.Textbox(label="YouTube Link") | |
with gr.Row().style(mobile_collapse=False, equal_height=True): | |
title = gr.Label(label="Video Title", placeholder="Title") | |
img = gr.Image(label="Thumbnail") | |
text = gr.Textbox( | |
label="Transcription", | |
placeholder="Transcription Output", | |
lines=5) | |
with gr.Row().style(mobile_collapse=False, equal_height=True): | |
btn = gr.Button("Transcribe") | |
# Events | |
btn.click(inference, inputs=[link], outputs=[text]) | |
link.change(populate_metadata, inputs=[link], outputs=[img, title]) | |
sz.change(change_model, inputs=[sz], outputs=[]) | |
block.launch(debug=True) | |