sonics-song-arena / utils.py
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create single song utils
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import gradio as gr
import json
from datetime import datetime
from pathlib import Path
from uuid import uuid4
import json
import time
import os
from huggingface_hub import CommitScheduler
from functools import partial
import pandas as pd
import numpy as np
from huggingface_hub import snapshot_download
def enable_buttons_side_by_side():
return tuple(gr.update(visible=True, interactive=True) for i in range(6))
def disable_buttons_side_by_side():
return tuple(gr.update(visible=i>=4, interactive=False) for i in range(6))
os.makedirs('data', exist_ok = True)
LOG_FILENAME = os.path.join('data', f'log_{datetime.now().isoformat()}.json')
FLAG_FILENAME = os.path.join('data', f'flagged_{datetime.now().isoformat()}.json')
enable_btn = gr.update(interactive=True, visible=True)
disable_btn = gr.update(interactive=False)
invisible_btn = gr.update(interactive=False, visible=False)
no_change_btn = gr.update(value="No Change", interactive=True, visible=True)
DS_ID = os.getenv('DS_ID')
TOKEN = os.getenv('TOKEN')
SONG_SOURCE = os.getenv("SONG_SOURCE")
LOCAL_DIR = './'
snapshot_download(repo_id=SONG_SOURCE, repo_type="dataset", token = TOKEN, local_dir = LOCAL_DIR)
scheduler = CommitScheduler(
repo_id= DS_ID,
repo_type="dataset",
folder_path= os.path.dirname(LOG_FILENAME),
path_in_repo="data",
token = TOKEN,
every = 10,
)
df = pd.read_csv(os.path.join(LOCAL_DIR,'data.csv'))
filenames = list(os.path.join(LOCAL_DIR, 'songs') + '/' + df.filename + '.mp3')
indices = list(df.index)
main_indices = indices.copy()
def init_indices():
global indices, main_indices
indices = main_indices
def pick_and_remove_one():
global indices
if len(indices) < 1:
init_indices()
np.random.shuffle(indices)
sel_indices = indices[0]
indices = indices[1:]
print("Indices : ",sel_indices)
return sel_indices
def vote_last_response(state, vote_type, request: gr.Request):
with scheduler.lock:
with open(LOG_FILENAME, "a") as fout:
data = {
"tstamp": round(time.time(), 4),
"type": vote_type,
"state": state.dict(),
"ip": get_ip(request),
}
fout.write(json.dumps(data) + "\n")
def flag_last_response(state, vote_type, request: gr.Request):
with scheduler.lock:
with open(FLAG_FILENAME, "a") as fout:
data = {
"tstamp": round(time.time(), 4),
"type": vote_type,
"state": state.dict(),
"ip": get_ip(request),
}
fout.write(json.dumps(data) + "\n")
class AudioStateIG:
def __init__(self, row):
self.conv_id = uuid4().hex
self.row = row
def dict(self):
base = {
"conv_id": self.conv_id,
"label": self.row.label,
"filename": self.row.filename
}
return base
def get_ip(request: gr.Request):
if request:
if "cf-connecting-ip" in request.headers:
ip = request.headers["cf-connecting-ip"] or request.client.host
else:
ip = request.client.host
else:
ip = None
return ip
def get_song(idx, df = df, filenames = filenames):
row = df.loc[idx]
audio_path = filenames[idx]
state = AudioStateIG(row)
return state, audio_path
def generate_songs(state):
idx= pick_and_remove_one()
state, audio = get_song(idx)
return state, audio, "Vote to Reveal Label",
def fake_last_response(
state, request: gr.Request
):
vote_last_response(
state, "fake", request
)
return (disable_btn,) * 3 + (gr.Markdown(f"### {state.row.label}", visible=True),)
def real_last_response(
state, request: gr.Request
):
vote_last_response(
state, "real", request
)
return (disable_btn,) * 3 + (gr.Markdown(f"### {state.row.label}", visible=True),)