yourusername's picture
:bug: update count back to 150 per class
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import logging
import shutil
import zipfile
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from tempfile import TemporaryDirectory
import requests
import streamlit as st
from huggingface_hub import Repository, create_repo, login, whoami
from huggingpics.data import get_image_urls_by_term
from requests.exceptions import HTTPError
from tqdm.auto import tqdm
logger = logging.getLogger(__name__)
def show_images_of_term(search_term, num_cols=5, num_rows=3):
# Get the image urls
# Arbitrarily adding 2 to make sure we have enough images in the event of a failed request
urls = get_image_urls_by_term(search_term, count=(num_rows * num_cols) + 2)
st.title(search_term)
for row_id in range(num_rows):
cols = st.columns(num_cols)
for col_id in range(num_cols):
cols[col_id].image(urls[row_id * num_cols + col_id], use_column_width=True)
def download_image(img_url, filename):
response = requests.get(img_url)
response.raise_for_status()
img_bytes = response.content
with open(filename, 'wb') as img_file:
img_file.write(img_bytes)
def make_huggingpics_imagefolder(data_dir, search_terms, count=150, overwrite=False, resume=False, streamlit=False):
data_dir = Path(data_dir)
if data_dir.exists():
if overwrite:
print(f"Deleting existing HuggingPics data directory to create new one: {data_dir}")
shutil.rmtree(data_dir)
else:
print(f"Using existing HuggingPics data directory: '{data_dir}'")
if not resume:
return
if streamlit:
pbar = st.progress(0)
for search_term_idx, search_term in enumerate(search_terms):
search_term_dir = data_dir / search_term
search_term_dir.mkdir(exist_ok=True, parents=True)
is_term_dir_nonempty = any(Path(search_term_dir).iterdir())
if is_term_dir_nonempty:
print(f"Skipping search term '{search_term}' because it already has images in it.")
continue
urls = get_image_urls_by_term(search_term, count)
logger.info(f"Saving images of {search_term} to {str(search_term_dir)}...")
with ThreadPoolExecutor() as executor:
for i, url in enumerate(tqdm(urls)):
executor.submit(download_image, url, search_term_dir / f'{i}.jpg')
if streamlit:
pbar.progress((search_term_idx + 1) / len(search_terms))
if streamlit:
pbar.empty()
def zip_imagefolder(data_dir, zip_path='images.zip'):
data_dir = Path(data_dir)
zip_file = zipfile.ZipFile(zip_path, 'w')
for img_path in data_dir.glob('**/*.jpg'):
zip_file.write(img_path, arcname=f"{img_path.parent.name}/{img_path.name}")
zip_file.close()
def get_search_terms():
terms = [
st.sidebar.text_input("Term 1:"),
]
while terms[-1] != "":
terms.append(
st.sidebar.text_input(
f"Term {len(terms) + 1}:",
)
)
terms = terms[:-1]
return terms
def main():
with st.sidebar:
st.title('πŸ€—πŸ–Ό HuggingPics Explorer')
st.markdown(
"""
<p align="center">
<a href="https://github.com/nateraw/huggingpics-explorer" alt="Repo"><img src="https://img.shields.io/github/stars/nateraw/huggingpics-explorer?style=social" /></a>
</p>
""",
unsafe_allow_html=True,
)
names = get_search_terms()
for name in names:
show_images_of_term(name)
with st.sidebar:
with st.form("Upload to πŸ€— Hub"):
username = st.text_input('Username')
password = st.text_input('Password', type="password")
dataset_name = st.text_input('Dataset Name', value='huggingpics-data')
submit = st.form_submit_button('Upload to πŸ€— Hub')
if submit:
try:
token = login(username, password)
repo_url = create_repo(dataset_name, token, exist_ok=True, repo_type='dataset')
with TemporaryDirectory() as tmp_dir:
repo_owner, repo_name = username, dataset_name
repo_namespace = f"{repo_owner}/{repo_name}"
repo = Repository(
tmp_dir,
clone_from=repo_url,
use_auth_token=token,
git_user=username,
git_email=f'{username}@users.noreply.huggingface.co',
repo_type='dataset',
)
temp_path = Path(tmp_dir)
imagefolder_path = temp_path / 'images/'
zipfile_path = temp_path / 'images.zip'
with st.spinner(f"Uploading files to [{repo_namespace}]({repo_url})..."):
with repo.commit("Uploaded from HuggingPics Explorer"):
make_huggingpics_imagefolder(
imagefolder_path, names, count=150, overwrite=True, resume=False, streamlit=True
)
zip_imagefolder(imagefolder_path, zipfile_path)
st.success(f"View your dataset here πŸ‘‰ [{repo_namespace}]({repo_url})")
except HTTPError as e:
st.error("Invalid username or password.")
if __name__ == '__main__':
main()