Source code for

import os
import urllib.request
import webbrowser
import zipfile
from pathlib import Path

from jina import Flow
from jina.importer import ImportExtensions
from jina.logging.predefined import default_logger
from jina.logging.profile import ProgressBar
from jina.parsers.helloworld import set_hw_multimodal_parser
from jina.types.document.generators import from_csv

[docs]def hello_world(args): """ Execute the multimodal example. :param args: arguments passed from CLI """ Path(args.workdir).mkdir(parents=True, exist_ok=True) with ImportExtensions( required=True, help_text='this demo requires Pytorch and Transformers to be installed, ' 'if you haven\'t, please do `pip install jina[torch,transformers]`', ): import transformers, torch, torchvision assert [ torch, transformers, torchvision, ] #: prevent pycharm auto remove the above line # args.workdir = '0bae16ce-5bb2-43be-bcd4-6f1969e8068f' targets = { 'people-img': { 'url': args.index_data_url, 'filename': os.path.join(args.workdir, ''), } } # download the data if not os.path.exists(targets['people-img']['filename']): download_data(targets, args.download_proxy, task_name='download zip data') with zipfile.ZipFile(targets['people-img']['filename'], 'r') as fp: fp.extractall(args.workdir) # this envs are referred in index and query flow YAMLs os.environ['HW_WORKDIR'] = args.workdir # now comes the real work # load index flow from a YAML file # index it! f = Flow.load_config('flow-index.yml') with f, open(f'{args.workdir}/people-img/meta.csv', newline='') as fp: f.index(inputs=from_csv(fp), request_size=10, show_progress=True) # search it! f = Flow.load_config('flow-search.yml') # switch to HTTP gateway f.protocol = 'http' f.port_expose = args.port_expose url_html_path = 'file://' + os.path.abspath( os.path.join(os.path.dirname(os.path.realpath(__file__)), 'static/index.html') ) with f: try:, new=2) except: pass # intentional pass, browser support isn't cross-platform finally: f'You should see a demo page opened in your browser, ' f'if not, you may open {url_html_path} manually' ) if not args.unblock_query_flow: f.block()
[docs]def download_data(targets, download_proxy=None, task_name='download fashion-mnist'): """ Download data. :param targets: target path for data. :param download_proxy: download proxy (e.g. 'http', 'https') :param task_name: name of the task """ opener = urllib.request.build_opener() opener.addheaders = [('User-agent', 'Mozilla/5.0')] if download_proxy: proxy = urllib.request.ProxyHandler( {'http': download_proxy, 'https': download_proxy} ) opener.add_handler(proxy) urllib.request.install_opener(opener) with ProgressBar(task_name=task_name) as t: for k, v in targets.items(): if not os.path.exists(v['filename']): urllib.request.urlretrieve( v['url'], v['filename'], reporthook=lambda *x: t.update_tick(0.01) )
if __name__ == '__main__': args = set_hw_multimodal_parser().parse_args() hello_world(args)