Spaces:
Runtime error
Runtime error
import time | |
import json | |
import os | |
import openl3 | |
import librosa | |
import pickle | |
import gradio as gr | |
import numpy as np | |
import faiss | |
import yt_dlp | |
import sys | |
from huggingface_hub import hf_hub_download | |
embed_html1 = '<iframe width="560" height="315" src="https://www.youtube.com/embed/' | |
embed_html2 = '" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>' | |
# NO GPU | |
os.environ['CUDA_VISIBLE_DEVICES'] = '-1' | |
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' | |
# | |
python_path = hf_hub_download(repo_id=os.environ['REPO_ID'], repo_type="space", filename=os.environ['MODEL_FILE'], | |
use_auth_token=os.environ['TOKEN']) | |
print(python_path) | |
sys.path.append(os.environ['PRIVATE_DIR']) | |
from models import * | |
def download_audio_(link): | |
with yt_dlp.YoutubeDL({'extract_audio': True, 'format': 'bestaudio', 'outtmpl': '%(title)s.mp3'}) as video: | |
info_dict = video.extract_info(link, download = True) | |
video_title = info_dict['title'] | |
video.download(link) | |
return video_title | |
def download_audio(id_video): | |
id = id_video.split("?v=")[-1][:11] | |
audio_file = download_audio_(id_video) | |
audio_file = audio_file+'.mp3' | |
embed_html_all = embed_html1 + id +embed_html2 | |
return audio_file, audio_file, embed_html_all | |
def process_url(input_path): | |
# setup the client | |
audio_file, audio_file, embed_html_all = download_audio(input_path) | |
return process(audio_file, embed_html_all) | |
def process_file(input_path): | |
return process(input_path, '') | |
def process(audio_file, embed_html_all): | |
emb, ts = get_embed(audio_file) | |
ind, ind_filenames = load_index() | |
catalog = load_catalog() | |
D, I = do_search(emb, ind) | |
top1, top2, top3, top4, top5 = get_top(I, ind_filenames, catalog) | |
return top1, top2, top3, top4, top5 | |
with gr.Blocks() as demo: | |
with gr.Row(): | |
with gr.Column(): | |
with gr.Row(): | |
#gr.HTML(embed_html) | |
html = gr.HTML() | |
with gr.Row(): | |
with gr.Column(): | |
audio_url_input = gr.Textbox(placeholder='YouTube video URL', label='YouTube video URL') | |
analyze_url_btn = gr.Button('Search from URL') | |
with gr.Row(): | |
with gr.Column(): | |
audio_input_file = gr.Audio(type="filepath", label='Audio Input') | |
analyze_file_btn = gr.Button('Search from file') | |
with gr.Row(): | |
with gr.Column(): | |
''' | |
gr.HTML("<h3>Top 1</h3>") | |
top1 = gr.Textbox(label="top1", show_label=False) | |
gr.HTML("<h3>Top 2</h3>") | |
top2 = gr.Textbox(label="top2", show_label=False) | |
gr.HTML("<h3>Top 3</h3>") | |
top3 = gr.Textbox(label="top3", show_label=False) | |
gr.HTML("<h3>Top 4</h3>") | |
top4 = gr.Textbox(label="top4", show_label=False) | |
gr.HTML("<h3>Top 5</h3>") | |
top5 = gr.Textbox(label="top5", show_label=False) | |
''' | |
top1 = gr.Audio(label="top1", show_label=True) | |
top2 = gr.Audio(label="top2", show_label=True) | |
top3 = gr.Audio(label="top3", show_label=True) | |
top4 = gr.Audio(label="top4", show_label=True) | |
top5 = gr.Audio(label="top5", show_label=True) | |
analyze_url_btn.click(process_url, inputs=[audio_url_input], | |
outputs=[top1, top2, top3, top4, top5]) | |
analyze_file_btn.click(process_file, inputs=[audio_input_file], | |
outputs=[top1, top2, top3, top4, top5]) | |
demo.launch(debug=True) |