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import gradio as gr | |
def convert_to_embed_url(youtube_url): | |
if "youtube.com/watch?v=" in youtube_url: | |
video_id = youtube_url.split("v=")[1].split("&")[0] | |
elif "youtu.be/" in youtube_url: | |
video_id = youtube_url.split("youtu.be/")[1].split("?")[0] | |
else: | |
return "" | |
embed_url = f"https://www.youtube.com/embed/{video_id}" | |
return f'<iframe width="100%" height="200" src="{embed_url}" style="border-radius:10px"></iframe>' | |
from pytube import YouTube | |
import os | |
from pydub import AudioSegment | |
def download_audio_from_youtube(video_url): | |
try: | |
yt = YouTube(video_url) | |
audio_stream = yt.streams.filter(only_audio=True).first() | |
downloaded_file = audio_stream.download(".") | |
base, ext = os.path.splitext(downloaded_file) | |
mp3_file = base + '.mp3' | |
AudioSegment.from_file(downloaded_file).export(mp3_file, format='mp3') | |
os.remove(downloaded_file) | |
return base | |
except Exception as e: | |
gr.Error(f"An error occurred: {e}") | |
import ffmpeg | |
def convert_video_to_audio(input_file): | |
output_file = "audio.mp3" | |
try: | |
( | |
ffmpeg | |
.input(input_file) | |
.output(output_file) | |
.run() | |
) | |
return output_file | |
except ffmpeg.Error as e: | |
gr.Error(f"An error occurred: {e}") | |
def transcribe(source, file): | |
if source == "Audio": | |
with gr.Blocks(theme="freddyaboulton/test-blue") as demo: | |
gr.Markdown("<center><h1> π Transcribe Anything </h1></center>") | |
with gr.Tab("Input"): | |
with gr.Row(): | |
with gr.Column(): | |
source = gr.Radio(label="Source type", choices=[("Audio", "audio"), ("Video", "video"), ("YouTube URL", "youtube")], value="Audio") | |
def show_source(s): | |
if s == "Audio": | |
gr.Audio() | |
elif s == "Video": | |
gr.Video() | |
elif s == "YouTube URL": | |
t = gr.Textbox(placeholder="https://www.youtube.com/watch?v=44vi31hehw4") | |
h = gr.HTML(label="Video preview") | |
t.change(convert_to_embed_url, t, h) | |
with gr.Column(): | |
gr.Dropdown(label="Languages", choices=["(Autodetect)", "English"], value="(Autodetect)") | |
gr.CheckboxGroup(label="Cleanup Transcript with LLM", choices=["Remove typos", "Separate into paragraphs"]) | |
gr.Checkbox(label="Diarize Speakers (coming soon)", interactive=False) | |
transcribe_btn = gr.Button("Transcribe!") | |
with gr.Tab("Result"): | |
pass | |
with gr.Tab("Summarize"): | |
pass | |
with gr.Tab("Chat"): | |
pass | |
demo.launch() |