Update utils.py

utils.py

@@ -1,6 +1,289 @@
-def is_google_colab():
+import gradio as gr
+from huggingface_hub import HfApi, HfFolder, hf_hub_download, snapshot_download
+import os
+from pathlib import Path
+import shutil
+import gc
+import re
+import urllib.parse
+import subprocess
+import time
+from typing import Any
+
+
+def get_token():
     try:
-        import google.colab
+        token = HfFolder.get_token()
+    except Exception:
+        token = ""
+    return token
+
+
+def set_token(token):
+    try:
+        HfFolder.save_token(token)
+    except Exception:
+        print(f"Error: Failed to save token.")
+
+
+def get_state(state: dict, key: str):
+    if key in state.keys(): return state[key]
+    else:
+        print(f"State '{key}' not found.")
+        return None
+
+
+def set_state(state: dict, key: str, value: Any):
+    state[key] = value
+
+
+def get_user_agent():
+    return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
+
+
+def is_repo_exists(repo_id: str, repo_type: str="model"):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        if api.repo_exists(repo_id=repo_id, repo_type=repo_type, token=hf_token): return True
+        else: return False
+    except Exception as e:
+        print(f"Error: Failed to connect {repo_id} ({repo_type}). {e}")
+        return True # for safe
+
+
+MODEL_TYPE_CLASS = {
+    "diffusers:StableDiffusionPipeline": "SD 1.5",
+    "diffusers:StableDiffusionXLPipeline": "SDXL",
+    "diffusers:FluxPipeline": "FLUX",
+}
+
+
+def get_model_type(repo_id: str):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    lora_filename = "pytorch_lora_weights.safetensors"
+    diffusers_filename = "model_index.json"
+    default = "SDXL"
+    try:
+        if api.file_exists(repo_id=repo_id, filename=lora_filename, token=hf_token): return "LoRA"
+        if not api.file_exists(repo_id=repo_id, filename=diffusers_filename, token=hf_token): return "None"
+        model = api.model_info(repo_id=repo_id, token=hf_token)
+        tags = model.tags
+        for tag in tags:
+            if tag in MODEL_TYPE_CLASS.keys(): return MODEL_TYPE_CLASS.get(tag, default)
+    except Exception:
+        return default
+    return default
+
+
+def list_uniq(l):
+    return sorted(set(l), key=l.index)
+
+
+def list_sub(a, b):
+    return [e for e in a if e not in b]
+
+
+def is_repo_name(s):
+    return re.fullmatch(r'^[\w_\-\.]+/[\w_\-\.]+$', s)
+
+
+def get_hf_url(repo_id: str, repo_type: str="model"):
+    if repo_type == "dataset": url = f"https://huggingface.co/datasets/{repo_id}"
+    elif repo_type == "space": url = f"https://huggingface.co/spaces/{repo_id}"
+    else: url = f"https://huggingface.co/{repo_id}"
+    return url
+
+
+def split_hf_url(url: str):
+    try:
+        s = list(re.findall(r'^(?:https?://huggingface.co/)(?:(datasets|spaces)/)?(.+?/.+?)/\w+?/.+?/(?:(.+)/)?(.+?.\w+)(?:\?download=true)?$', url)[0])
+        if len(s) < 4: return "", "", "", ""
+        repo_id = s[1]
+        if s[0] == "datasets": repo_type = "dataset"
+        elif s[0] == "spaces": repo_type = "space"
+        else: repo_type = "model"
+        subfolder = urllib.parse.unquote(s[2]) if s[2] else None
+        filename = urllib.parse.unquote(s[3])
+        return repo_id, filename, subfolder, repo_type
+    except Exception as e:
+        print(e)
+
+
+def download_hf_file(directory, url, progress=gr.Progress(track_tqdm=True)):
+    hf_token = get_token()
+    repo_id, filename, subfolder, repo_type = split_hf_url(url)
+    try:
+        print(f"Downloading {url} to {directory}")
+        if subfolder is not None: path = hf_hub_download(repo_id=repo_id, filename=filename, subfolder=subfolder, repo_type=repo_type, local_dir=directory, token=hf_token)
+        else: path = hf_hub_download(repo_id=repo_id, filename=filename, repo_type=repo_type, local_dir=directory, token=hf_token)
+        return path
+    except Exception as e:
+        print(f"Failed to download: {e}")
+        return None
+
+
+def download_thing(directory, url, civitai_api_key="", progress=gr.Progress(track_tqdm=True)): # requires aria2, gdown
+    try:
+        url = url.strip()
+        if "drive.google.com" in url:
+            original_dir = os.getcwd()
+            os.chdir(directory)
+            subprocess.run(f"gdown --fuzzy {url}", shell=True)
+            os.chdir(original_dir)
+        elif "huggingface.co" in url:
+            url = url.replace("?download=true", "")
+            if "/blob/" in url: url = url.replace("/blob/", "/resolve/")
+            download_hf_file(directory, url)
+        elif "civitai.com" in url:
+            if civitai_api_key:
+                url = f"'{url}&token={civitai_api_key}'" if "?" in url else f"{url}?token={civitai_api_key}"
+                print(f"Downloading {url}")
+                subprocess.run(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}", shell=True)
+            else:
+                print("You need an API key to download Civitai models.")
+        else:
+            os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
+    except Exception as e:
+        print(f"Failed to download: {e}")
+
+
+def get_local_file_list(dir_path):
+    file_list = []
+    for file in Path(dir_path).glob("**/*.*"):
+        if file.is_file():
+            file_path = str(file)
+            file_list.append(file_path)
+    return file_list
+
+
+def get_download_file(temp_dir, url, civitai_key, progress=gr.Progress(track_tqdm=True)):
+    try:
+        if not "http" in url and is_repo_name(url) and not Path(url).exists():
+            print(f"Use HF Repo: {url}")
+            new_file = url
+        elif not "http" in url and Path(url).exists():
+            print(f"Use local file: {url}")
+            new_file = url
+        elif Path(f"{temp_dir}/{url.split('/')[-1]}").exists():
+            print(f"File to download alreday exists: {url}")
+            new_file = f"{temp_dir}/{url.split('/')[-1]}"
+        else:
+            print(f"Start downloading: {url}")
+            before = get_local_file_list(temp_dir)
+            download_thing(temp_dir, url.strip(), civitai_key)
+            after = get_local_file_list(temp_dir)
+            new_file = list_sub(after, before)[0] if list_sub(after, before) else ""
+        if not new_file:
+            print(f"Download failed: {url}")
+            return ""
+        print(f"Download completed: {url}")
+        return new_file
+    except Exception as e:
+        print(f"Download failed: {url} {e}")
+        return ""
+
+
+def download_repo(repo_id: str, dir_path: str, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
+    hf_token = get_token()
+    try:
+        snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
+                          ignore_patterns=["*.fp16.*", "/*.safetensors", "/*.bin"], force_download=True)
         return True
-    except:
-        return False
+    except Exception as e:
+        print(f"Error: Failed to download {repo_id}. {e}")
+        gr.Warning(f"Error: Failed to download {repo_id}. {e}")
+        return False
+
+
+def upload_repo(repo_id: str, dir_path: str, is_private: bool, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        progress(0, desc="Start uploading...")
+        api.create_repo(repo_id=repo_id, token=hf_token, private=is_private, exist_ok=True)
+        for path in Path(dir_path).glob("*"):
+            if path.is_dir():
+                api.upload_folder(repo_id=repo_id, folder_path=str(path), path_in_repo=path.name, token=hf_token)
+            elif path.is_file():
+                api.upload_file(repo_id=repo_id, path_or_fileobj=str(path), path_in_repo=path.name, token=hf_token)
+        progress(1, desc="Uploaded.")
+        return get_hf_url(repo_id, "model")
+    except Exception as e:
+        print(f"Error: Failed to upload to {repo_id}. {e}")
+        return ""
+
+
+HF_SUBFOLDER_NAME = ["None", "user_repo"]
+
+
+def duplicate_hf_repo(src_repo: str, dst_repo: str, src_repo_type: str, dst_repo_type: str,
+                      is_private: bool, subfolder_type: str=HF_SUBFOLDER_NAME[1], progress=gr.Progress(track_tqdm=True)):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        if subfolder_type == "user_repo": subfolder = src_repo.replace("/", "_")
+        else: subfolder = ""
+        progress(0, desc="Start duplicating...")
+        api.create_repo(repo_id=dst_repo, repo_type=dst_repo_type, private=is_private, exist_ok=True, token=hf_token)
+        for path in api.list_repo_files(repo_id=src_repo, repo_type=src_repo_type, token=hf_token):
+            file = hf_hub_download(repo_id=src_repo, filename=path, repo_type=src_repo_type, token=hf_token)
+            if not Path(file).exists(): continue
+            if Path(file).is_dir(): # unused for now
+                api.upload_folder(repo_id=dst_repo, folder_path=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
+                                  repo_type=dst_repo_type, token=hf_token)
+            elif Path(file).is_file():
+                api.upload_file(repo_id=dst_repo, path_or_fileobj=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
+                                repo_type=dst_repo_type, token=hf_token)
+            if Path(file).exists(): Path(file).unlink()
+        progress(1, desc="Duplicated.")
+        return f"{get_hf_url(dst_repo, dst_repo_type)}/tree/main/{subfolder}" if subfolder else get_hf_url(dst_repo, dst_repo_type)
+    except Exception as e:
+        print(f"Error: Failed to duplicate repo {src_repo} to {dst_repo}. {e}")
+        return ""
+
+
+BASE_DIR = str(Path(__file__).resolve().parent.resolve())
+CIVITAI_API_KEY = os.environ.get("CIVITAI_API_KEY")
+
+
+def get_file(url: str, path: str): # requires aria2, gdown
+    print(f"Downloading {url} to {path}...")
+    get_download_file(path, url, CIVITAI_API_KEY)
+
+
+def git_clone(url: str, path: str, pip: bool=False, addcmd: str=""): # requires git
+    os.makedirs(str(Path(BASE_DIR, path)), exist_ok=True)
+    os.chdir(Path(BASE_DIR, path))
+    print(f"Cloning {url} to {path}...")
+    cmd = f'git clone {url}'
+    print(f'Running {cmd} at {Path.cwd()}')
+    i = subprocess.run(cmd, shell=True).returncode
+    if i != 0: print(f'Error occured at running {cmd}')
+    p = url.split("/")[-1]
+    if not Path(p).exists: return
+    if pip:
+        os.chdir(Path(BASE_DIR, path, p))
+        cmd = f'pip install -r requirements.txt'
+        print(f'Running {cmd} at {Path.cwd()}')
+        i = subprocess.run(cmd, shell=True).returncode
+        if i != 0: print(f'Error occured at running {cmd}')
+    if addcmd:
+        os.chdir(Path(BASE_DIR, path, p))
+        cmd = addcmd
+        print(f'Running {cmd} at {Path.cwd()}')
+        i = subprocess.run(cmd, shell=True).returncode
+        if i != 0: print(f'Error occured at running {cmd}')
+
+
+def run(cmd: str, timeout: float=0):
+    print(f'Running {cmd} at {Path.cwd()}')
+    if timeout == 0:
+        i = subprocess.run(cmd, shell=True).returncode
+        if i != 0: print(f'Error occured at running {cmd}')
+    else:
+        p = subprocess.Popen(cmd, shell=True)
+        time.sleep(timeout)
+        p.terminate()
+        print(f'Terminated in {timeout} seconds')