Spaces:
Runtime error
Runtime error
%env CREDENTIALS={"type": "service_account","project_id": "plenary-shade-368614","private_key_id": "ff8317f1c399300a6db5ad5a1357720d7e9a6d6f","private_key": "-----BEGIN PRIVATE KEY-----\nMIIEvAIBADANBgkqhkiG9w0BAQEFAASCBKYwggSiAgEAAoIBAQDBHPS3oQqLztmk\nqb132iJijv/SNEWTYD5g/oDJoDtFkIPRqLzsvNmMKx33rhVmRU9GdHXHrC/2Ojha\nE43xdneaqbOOtL2gqaaKvYjQOZ/Pp3ypCcnBG6cpiwaefJqMi2jYud7Ri+nyTrbV\nDiguoDqSfmfM2Mg3ZuDMF7ypqDbZj7V5lpN7588ta3Vs2bJRAhRiwGe9PINiipyz\nK2iha1mJDb8rdhQRYV4/NBrbs+3YD9LAOcjQj2dWgs+1cPKdf9E4KXDVuNXR7R0I\nM0m+kh3QKdl9KhK8lF6flE6HU2+Ps8CesjKW9f1/wxFpF4bRfZhzeXdc4BjPze/V\n/m7gMlNfAgMBAAECggEABc21MXznfq12S6jGP81lw5crsleGe1DsB+IzfRSf5Sox\nj4V3ydEgcl6dzJuGDR1xdSIl+OPHn+KF0Fuj3RPZP3I38Thr/Si/nap13XUE/Zxk\nEuo2Y//3o6n5uEhGz2yzzNTugnNuNZDkBxOS88rg8KPmF5WwsHfFeiryrTW0SvQl\ncvK3U9uPtQkyAfxhV2f3jwtnPyjMZxU1BjQuzA5HsYm6A4eoDxGAoqrmwHETuvKt\neR2yXBaTnKta3eGM9lzjDMzkExzI42j6JzdSegl8v7LE0OCoNDQXsMv5M4+2zfCr\nCW+DANe1h3IEs90e9o8NqGnoYB6SBagiU/pNSeRyQQKBgQD5x9FdBhnHNHpEYtNu\nvSvsAAmaliXfcOKMrRsZglOh12ukcKt0ZNffmjMqhZ7KrId2f2sMKuGR/tOXhVIO\n4wha+sCPyga5qfP7afQFWp/VO6ZHnEF5KeQysaoemzFjvt8NFBIQ4UoOa1puPGTO\nB+HlQ1uvVzr+QoiiyWtzlHdukQKBgQDF6+vpF3gg6JAmUGS+ptEQdB8ml2m11rNX\npW8QNa837yUm9SbCgCuaHsCweOGdWL22Xpu85/2meZWSqmto1nIx0z1ED14sML4X\nVtO+GtEFu4qUYTGYC7tdD6qOQrlhW5J1ZfVBALxKscyk1hj6zO2AIeAKP/RfS6As\nIrRDzHF67wKBgAo8tEn5vAi8D97Jphy9yBUOE1awnLDBsadOWPP8sWzKpXDB5WUJ\n1QcnDL3LaCyqUYr7welnwIL5TLbDEg/mIiuIZ2f9QbVOT9+YAhZOForovPHmZ5CN\ntPqW6YADoEyUQBQLJIpokV5x6+zksMT48bsxvYo8KwDMvUjetHayOQrhAoGAZInq\nZZaJbFYW24+dDYfZzXzfUhA6H6e3pH8iAt7yafxuJ/MCRG0tOPYENeDB4tbwT9KR\nVA2YuNcsVruBIllE2vCOP6N62AHOnjZ6Cyi+IyZYR/VzZuQWwjgyEF/uoXkN1dr8\nEZAZFexpoxYqzEQLJTqP/0TrkvjsnV7nqUUSJDsCgYA3T1OZU4/NLxp61jQRRLEd\nF2TgOwZ1m6j6Up5J1YMthDQpywREPPonCnjC7FWTw7a1VimHochdzeCjT/PSPOvC\nZdX/6Gej2yMQ3QPTtoBS+BdyfUeJCu1Z07BlwJO3wC7qH/N4YfU8wQqFdO2WZg6+\n4MDWth7MP5LI+udNYczhUA==\n-----END PRIVATE KEY-----\n", "client_email": "[email protected]","client_id": "106523013017816734094","auth_uri": "https://accounts.google.com/o/oauth2/auth","token_uri": "https://oauth2.googleapis.com/token","auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/annotation-app%40plenary-shade-368614.iam.gserviceaccount.com"} | |
import gradio as gr | |
import json | |
import spacy | |
import re | |
import string | |
import pandas as pd | |
import os | |
import requests | |
from textwrap import wrap | |
import uuid | |
import gspread | |
nlp = spacy.load("en_core_web_sm") | |
nlp.add_pipe('sentencizer') | |
def download_and_save_file(URL, audio_dir): | |
headers = { | |
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36', | |
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', | |
'referer': 'https://www.google.com/', | |
'accept-encoding': 'gzip, deflate, br', | |
'accept-language': 'en-US,en;q=0.9,', | |
'cookie': 'prov=6bb44cc9-dfe4-1b95-a65d-5250b3b4c9fb; _ga=GA1.2.1363624981.1550767314; __qca=P0-1074700243-1550767314392; notice-ctt=4%3B1550784035760; _gid=GA1.2.1415061800.1552935051; acct=t=4CnQ70qSwPMzOe6jigQlAR28TSW%2fMxzx&s=32zlYt1%2b3TBwWVaCHxH%2bl5aDhLjmq4Xr', | |
} | |
doc = requests.get(URL, headers=headers) | |
file_name = URL.split('/')[-1].split('?')[0] | |
audio_path = f'{audio_dir}/{file_name}' | |
with open(audio_path, 'wb') as f: | |
f.write(doc.content) | |
return audio_path | |
credentials = os.environ['CREDENTIALS'] | |
data = json.loads(credentials, strict=False) | |
with open('credentials.json', 'w') as f: | |
json.dump(data, f) | |
title = '🎵 Annotate audio' | |
description = '''Choose a sentence that describes audio the best if there's no such sentence please choose `No audio description`''' | |
audio_dir = 'AUDIO' | |
os.makedirs(audio_dir, exist_ok=True) | |
def sample_df(): | |
gc = gspread.service_account(filename='credentials.json') | |
sh = gc.open('Annotated CC Audio') | |
worksheet = sh.sheet1 | |
df = pd.DataFrame(worksheet.get_all_records()) | |
sample_df = df[df['caption']==''].sample(1) | |
url, audio_url, _, _, full_text, _, _ = sample_df.values[0] | |
audio_path = download_and_save_file(audio_url, audio_dir) | |
full_text = full_text.translate(str.maketrans('', '', string.punctuation)) | |
sents = ['\n'.join(wrap(re.sub(r'###audio###\d###', '', s.text), width=70) )for s in nlp(full_text).sents] | |
sents.append('No audio description') | |
return audio_path, audio_url | |
def audio_demo(cap, audio, annotator, audio_url): | |
annotator = annotator if annotator else str(uuid.uuid4()) | |
df['caption'].loc[df['audio_url'] == audio_url] = cap | |
df['annotator'].loc[df['audio_url'] == audio_url] = annotator | |
worksheet.update([df.columns.values.tolist()] + df.values.tolist()) | |
return 'success!' | |
audio_path, audio_url = sample_df() | |
iface = gr.Interface( | |
audio_demo, | |
inputs=[gr.Radio(sents, label='audio description'), gr.Audio(audio_path, type="filepath"), gr.Textbox(label='please enter your name'), gr.Textbox(value=audio_url, visible=False)], | |
outputs=[gr.Textbox(label="output")], | |
allow_flagging="never", | |
title=title, | |
description=description, | |
) | |
if __name__ == "__main__": | |
iface.launch(show_error=True, debug=True) |