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# from transformers import pipeline | |
# import gradio as gr | |
# AIzaSyDeT8V0nRlVEgmb0fMK4uc0ci8fAcS0Olg | |
# pipe = pipeline(model="sanchit-gandhi/whisper-small-hi") # change to "your-username/the-name-you-picked" | |
import requests | |
import json | |
import gradio as gr | |
import requests | |
import base64 | |
import json | |
import sys | |
from fetchPlaylistTrackUris import * | |
import re | |
import asyncio | |
# import streamlit.components.v1 as components | |
import pickle | |
import sklearn.preprocessing as pp | |
from scipy.sparse import csr_matrix | |
import numpy as np | |
import pandas as pd | |
import os | |
from scipy.sparse import vstack | |
from recommender import * | |
#import huggingface_hub | |
from huggingface_hub import Repository | |
HF_TOKEN = os.environ.get("HF_TOKEN") | |
DATASET_REPO_URL_TRAIN = "https://huggingface.co/datasets/nandovallec/df_ps_train_extra" | |
DATA_FILENAME_TRAIN = "df_ps_train_extra.hdf" | |
DATA_FILE_TRAIN = os.path.join("data_train", DATA_FILENAME_TRAIN) | |
DATASET_REPO_URL_MAT = "https://huggingface.co/datasets/nandovallec/giantMatrix_extra" | |
DATA_FILENAME_MAT = "giantMatrix_extra.pickle" | |
DATA_FILE_MAT = os.path.join("data_mat", DATA_FILENAME_MAT) | |
repo_train = Repository( | |
local_dir="data_train", clone_from=DATASET_REPO_URL_TRAIN, use_auth_token=HF_TOKEN | |
) | |
repo_mat = Repository( | |
local_dir="data_mat", clone_from=DATASET_REPO_URL_MAT, use_auth_token=HF_TOKEN | |
) | |
def test(playlist_url, n_rec): | |
n_rec = int(n_rec) | |
# playlist_url = "https://open.spotify.com/playlist/7HkaNKWr0GCEznuFSEE67i" | |
playlist_uri = playlist_url.split('/')[-1] | |
list_uri = get_playlist_track_uris(playlist_uri) | |
# uri = "spotify:track:5bjWdBx64POBYiUny759hy" | |
# uri_link = "https://open.spotify.com/embed/track/" + uri + "?utm_source=generator&theme=0" | |
# uri_link = "https://open.spotify.com/embed/track/5bjWdBx64POBYiUny759hy?utm_source=generator&theme=0" | |
# components.iframe(uri_link, height=80) | |
# i += 1 | |
# if i % 5 == 0: | |
# time.sleep(1) | |
uri_links = inference_from_uri(list_uri, MAX_tid=n_rec) | |
commit_url = repo_train.push_to_hub() | |
commit_url = repo_mat.push_to_hub() | |
# uri_links = [] | |
frames = "" | |
for uri_link in uri_links: | |
uri_id = uri_link.split(':')[-1] | |
frames = f'{frames}<iframe id="inlineFrameExample" title="Inline Frame Map" style="width:100%; height: 250px;" src="https://open.spotify.com/embed/track/{uri_id}?utm_source=generator&theme=0"></iframe>' | |
return frames | |
with gr.Blocks() as app: | |
# global mode | |
url = gr.Textbox(label="Link to playlist") | |
n_rec = gr.Number(value=5,label="Number of recommendations") | |
btn = gr.Button(value="Submit") | |
ifr = gr.HTML() | |
btn.click(test, inputs=[url, n_rec], outputs=[ifr]) | |
demo = gr.TabbedInterface([app], ["Playlist continuation"]) | |
demo.launch() | |
# def main(): | |
# spr_sidebar() | |
# if st.session_state.app_mode == 'Home': | |
# home_page() | |
# if st.session_state.app_mode == 'Result': | |
# result_page() | |
# if st.session_state.app_mode == 'About' : | |
# About_page() | |
# if st.session_state.app_mode == 'Log': | |
# Log_page() | |
# # Run main() | |
# if __name__ == '__main__': | |
# main() | |