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Upload 7 files
Browse files- app.py +2 -2
- civitai_to_hf.py +21 -5
- utils.py +49 -12
app.py
CHANGED
@@ -21,7 +21,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
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search_civitai_period = gr.Radio(label="Period", choices=CIVITAI_PERIOD, value="Month")
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search_civitai_limit = gr.Slider(label="Limit", minimum=1, maximum=100, step=1, value=100)
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search_civitai_page = gr.Slider(label="Page", minimum=1, maximum=100, step=1, value=1)
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with gr.Row():
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search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
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search_civitai_tag = gr.Dropdown(label="Tag", choices=get_civitai_tag(), value=get_civitai_tag()[0], allow_custom_value=True)
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search_civitai_user = gr.Textbox(label="Username", lines=1)
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@@ -30,7 +30,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
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with gr.Row():
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search_civitai_desc = gr.Markdown(value="", visible=False, elem_classes="desc")
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search_civitai_json = gr.JSON(value={}, visible=False)
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with gr.Row():
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with gr.Column(scale=9):
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with gr.Accordion("Select from Gallery", open=False):
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search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, elem_id="gallery", show_share_button=False, interactive=False)
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search_civitai_period = gr.Radio(label="Period", choices=CIVITAI_PERIOD, value="Month")
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search_civitai_limit = gr.Slider(label="Limit", minimum=1, maximum=100, step=1, value=100)
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search_civitai_page = gr.Slider(label="Page", minimum=1, maximum=100, step=1, value=1)
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with gr.Row(equal_height=True):
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search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
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search_civitai_tag = gr.Dropdown(label="Tag", choices=get_civitai_tag(), value=get_civitai_tag()[0], allow_custom_value=True)
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search_civitai_user = gr.Textbox(label="Username", lines=1)
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with gr.Row():
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search_civitai_desc = gr.Markdown(value="", visible=False, elem_classes="desc")
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search_civitai_json = gr.JSON(value={}, visible=False)
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with gr.Row(equal_height=True):
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with gr.Column(scale=9):
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with gr.Accordion("Select from Gallery", open=False):
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search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, elem_id="gallery", show_share_button=False, interactive=False)
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civitai_to_hf.py
CHANGED
@@ -6,14 +6,15 @@ import gc
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import requests
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from requests.adapters import HTTPAdapter
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from urllib3.util import Retry
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from utils import get_token, set_token, is_repo_exists, get_user_agent, get_download_file, list_uniq
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import re
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from PIL import Image
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import json
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import pandas as pd
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TEMP_DIR =
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def parse_urls(s):
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@@ -25,12 +26,22 @@ def parse_urls(s):
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return []
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def to_urls(l: list[str]):
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return "\n".join(l)
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def uniq_urls(s):
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return to_urls(list_uniq(parse_urls(s)))
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def upload_safetensors_to_repo(filename, repo_id, repo_type, is_private, progress=gr.Progress(track_tqdm=True)):
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@@ -107,8 +118,8 @@ def download_civitai(dl_url, civitai_key, hf_token, urls,
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if not civitai_key: civitai_key = os.environ.get("CIVITAI_API_KEY") # default Civitai API key
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if not newrepo_id: newrepo_id = os.environ.get("HF_REPO") # default repo to upload
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if not get_token() or not civitai_key: raise gr.Error("HF write token and Civitai API key is required.")
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dl_urls = parse_urls(dl_url)
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if not urls: urls = []
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for u in dl_urls:
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file = download_file(u, civitai_key)
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if not Path(file).exists() or not Path(file).is_file(): continue
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@@ -116,6 +127,10 @@ def download_civitai(dl_url, civitai_key, hf_token, urls,
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if url:
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urls.append(url)
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if is_info: upload_info_to_repo(u, file, newrepo_id, repo_type, is_private)
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progress(1, desc="Processing...")
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md = f'### Your repo: [{newrepo_id}]({"https://huggingface.co/datasets/" if repo_type == "dataset" else "https://huggingface.co/"}{newrepo_id})\n'
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for u in urls:
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@@ -131,7 +146,7 @@ CIVITAI_PERIOD = ["AllTime", "Year", "Month", "Week", "Day"]
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def search_on_civitai(query: str, types: list[str], allow_model: list[str] = [], limit: int = 100,
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-
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user_agent = get_user_agent()
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headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
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base_url = 'https://civitai.com/api/v1/models'
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@@ -179,6 +194,7 @@ civitai_last_results = {}
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civitai_last_choices = [("", "")]
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civitai_last_gallery = []
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def search_civitai(query, types, base_model=[], sort=CIVITAI_SORT[0], period=CIVITAI_PERIOD[0], tag="", user="", limit=100, page=1, gallery=[]):
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global civitai_last_results, civitai_last_choices, civitai_last_gallery
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civitai_last_choices = [("", "")]
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import requests
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from requests.adapters import HTTPAdapter
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from urllib3.util import Retry
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from utils import get_token, set_token, is_repo_name, is_repo_exists, get_user_agent, get_download_file, list_uniq, duplicate_hf_repo, HF_SUBFOLDER_NAME
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import re
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from PIL import Image
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import json
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import pandas as pd
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import tempfile
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TEMP_DIR = tempfile.mkdtemp()
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def parse_urls(s):
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return []
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def parse_repos(s):
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repo_pattern = r'[^\w_\-\.]?([\w_\-\.]+/[\w_\-\.]+)[^\w_\-\.]?'
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try:
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s = re.sub("https?://[\\w/:%#\\$&\\?\\(\\)~\\.=\\+\\-]+", "", s)
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repos = re.findall(repo_pattern, s)
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return list(repos)
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except Exception:
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return []
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def to_urls(l: list[str]):
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return "\n".join(l)
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def uniq_urls(s):
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return to_urls(list_uniq(parse_urls(s) + parse_repos(s)))
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def upload_safetensors_to_repo(filename, repo_id, repo_type, is_private, progress=gr.Progress(track_tqdm=True)):
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if not civitai_key: civitai_key = os.environ.get("CIVITAI_API_KEY") # default Civitai API key
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if not newrepo_id: newrepo_id = os.environ.get("HF_REPO") # default repo to upload
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if not get_token() or not civitai_key: raise gr.Error("HF write token and Civitai API key is required.")
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if not urls: urls = []
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dl_urls = parse_urls(dl_url)
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for u in dl_urls:
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file = download_file(u, civitai_key)
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if not Path(file).exists() or not Path(file).is_file(): continue
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if url:
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urls.append(url)
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if is_info: upload_info_to_repo(u, file, newrepo_id, repo_type, is_private)
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dp_repos = parse_repos(dl_url)
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for r in dp_repos:
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url = duplicate_hf_repo(r, newrepo_id, "model", repo_type, is_private, HF_SUBFOLDER_NAME[1])
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if url: urls.append(url)
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progress(1, desc="Processing...")
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md = f'### Your repo: [{newrepo_id}]({"https://huggingface.co/datasets/" if repo_type == "dataset" else "https://huggingface.co/"}{newrepo_id})\n'
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for u in urls:
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def search_on_civitai(query: str, types: list[str], allow_model: list[str] = [], limit: int = 100,
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sort: str = "Highest Rated", period: str = "AllTime", tag: str = "", user: str = "", page: int = 1):
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user_agent = get_user_agent()
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headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
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base_url = 'https://civitai.com/api/v1/models'
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civitai_last_choices = [("", "")]
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civitai_last_gallery = []
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def search_civitai(query, types, base_model=[], sort=CIVITAI_SORT[0], period=CIVITAI_PERIOD[0], tag="", user="", limit=100, page=1, gallery=[]):
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global civitai_last_results, civitai_last_choices, civitai_last_gallery
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civitai_last_choices = [("", "")]
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utils.py
CHANGED
@@ -72,15 +72,24 @@ def list_sub(a, b):
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def is_repo_name(s):
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return re.fullmatch(r'^[
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def split_hf_url(url: str):
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try:
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s = list(re.findall(r'^(?:https?://huggingface.co/)(?:(datasets)/)?(.+?/.+?)/\w+?/.+?/(?:(.+)/)?(.+?.\w+)(?:\?download=true)?$', url)[0])
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if len(s) < 4: return "", "", "", ""
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repo_id = s[1]
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subfolder = urllib.parse.unquote(s[2]) if s[2] else None
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filename = urllib.parse.unquote(s[3])
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return repo_id, filename, subfolder, repo_type
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@@ -160,8 +169,7 @@ def get_download_file(temp_dir, url, civitai_key, progress=gr.Progress(track_tqd
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return new_file
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-
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def download_repo(repo_id, dir_path, progress=gr.Progress(track_tqdm=True)):
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hf_token = get_token()
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try:
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snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
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@@ -173,20 +181,49 @@ def download_repo(repo_id, dir_path, progress=gr.Progress(track_tqdm=True)):
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return False
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def upload_repo(
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hf_token = get_token()
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api = HfApi(token=hf_token)
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try:
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progress(0, desc="Start uploading...")
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api.create_repo(repo_id=
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for path in Path(dir_path).glob("*"):
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if path.is_dir():
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api.upload_folder(repo_id=
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elif path.is_file():
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api.upload_file(repo_id=
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progress(1, desc="Uploaded.")
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except Exception as e:
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print(f"Error: Failed to upload to {
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return ""
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def is_repo_name(s):
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return re.fullmatch(r'^[\w_\-\.]+/[\w_\-\.]+$', s)
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def get_hf_url(repo_id: str, repo_type: str="model"):
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if repo_type == "dataset": url = f"https://huggingface.co/datasets/{repo_id}"
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elif repo_type == "space": url = f"https://huggingface.co/spaces/{repo_id}"
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else: url = f"https://huggingface.co/{repo_id}"
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return url
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def split_hf_url(url: str):
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try:
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s = list(re.findall(r'^(?:https?://huggingface.co/)(?:(datasets|spaces)/)?(.+?/.+?)/\w+?/.+?/(?:(.+)/)?(.+?.\w+)(?:\?download=true)?$', url)[0])
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if len(s) < 4: return "", "", "", ""
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repo_id = s[1]
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if s[0] == "datasets": repo_type = "dataset"
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elif s[0] == "spaces": repo_type = "space"
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else: repo_type = "model"
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subfolder = urllib.parse.unquote(s[2]) if s[2] else None
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filename = urllib.parse.unquote(s[3])
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return repo_id, filename, subfolder, repo_type
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return new_file
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def download_repo(repo_id: str, dir_path: str, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
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hf_token = get_token()
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try:
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snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
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return False
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def upload_repo(repo_id: str, dir_path: str, is_private: bool, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
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hf_token = get_token()
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api = HfApi(token=hf_token)
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try:
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progress(0, desc="Start uploading...")
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api.create_repo(repo_id=repo_id, token=hf_token, private=is_private, exist_ok=True)
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for path in Path(dir_path).glob("*"):
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if path.is_dir():
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api.upload_folder(repo_id=repo_id, folder_path=str(path), path_in_repo=path.name, token=hf_token)
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elif path.is_file():
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api.upload_file(repo_id=repo_id, path_or_fileobj=str(path), path_in_repo=path.name, token=hf_token)
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progress(1, desc="Uploaded.")
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return get_hf_url(repo_id, "model")
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except Exception as e:
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print(f"Error: Failed to upload to {repo_id}. {e}")
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return ""
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HF_SUBFOLDER_NAME = ["None", "user_repo"]
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def duplicate_hf_repo(src_repo: str, dst_repo: str, src_repo_type: str, dst_repo_type: str,
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is_private: bool, subfolder_type: str=HF_SUBFOLDER_NAME[1], progress=gr.Progress(track_tqdm=True)):
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hf_token = get_token()
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api = HfApi(token=hf_token)
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try:
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if subfolder_type == "user_repo": subfolder = src_repo.replace("/", "_")
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else: subfolder = ""
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progress(0, desc="Start duplicating...")
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api.create_repo(repo_id=dst_repo, repo_type=dst_repo_type, private=is_private, exist_ok=True, token=hf_token)
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for path in api.list_repo_files(repo_id=src_repo, repo_type=src_repo_type, token=hf_token):
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file = hf_hub_download(repo_id=src_repo, filename=path, repo_type=src_repo_type, token=hf_token)
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if not Path(file).exists(): continue
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if Path(file).is_dir(): # unused for now
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api.upload_folder(repo_id=dst_repo, folder_path=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
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repo_type=dst_repo_type, token=hf_token)
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elif Path(file).is_file():
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api.upload_file(repo_id=dst_repo, path_or_fileobj=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
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repo_type=dst_repo_type, token=hf_token)
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if Path(file).exists(): Path(file).unlink()
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progress(1, desc="Duplicated.")
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return f"{get_hf_url(dst_repo, dst_repo_type)}/tree/main/{subfolder}" if subfolder else get_hf_url(dst_repo, dst_repo_type)
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except Exception as e:
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print(f"Error: Failed to duplicate repo {src_repo} to {dst_repo}. {e}")
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return ""
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