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import gradio as gr
import os
import random
import modules.constants as constants
import modules.version_info as version_info
import modules.storage as storage
user_dir = constants.TMPDIR
default_folder = "saved_models/3d_model_" + format(random.randint(1, 999999), "06d")
def getVersions():
#return html_versions
return version_info.versions_html()
# Process URLs and download files if needed.
def process_url(url, default_ext=".png"):
"""Download file from URL if it's a remote URL and return its local path.
Performs HuggingFace authentication if the URL requires it.
The caller can pass an appropriate default_ext (e.g. ".glb" for models).
Uses huggingface_hub library for HuggingFace URLs for better authentication.
"""
if not url:
return None
# If it's already a local file, return it.
if os.path.exists(url) or not (url.startswith('http://') or url.startswith('https://')):
return url
# Parse URL to get components
try:
import urllib.request
from urllib.parse import urlparse
# Create filename from URL.
parsed_url = urlparse(url)
filename = os.path.basename(parsed_url.path)
if not filename:
filename = f"downloaded_{hash(url) % 10000}.file"
# Add extension if missing.
ext = os.path.splitext(filename)[1].lower()
if not ext:
filename += default_ext
# Create local path.
local_path = os.path.join(constants.TMPDIR, filename)
# If the file is hosted on HuggingFace, use huggingface_hub
if 'huggingface.co' in url or 'hf.co' in url:
try:
from huggingface_hub import login, hf_hub_download
# Log in to HuggingFace
login(token=constants.HF_API_TOKEN)
# Extract repo information from URL
# Format: https://huggingface.co/datasets/{repo_id}/resolve/main/{path}
if '/datasets/' in url and '/resolve/main/' in url:
parts = url.split('/datasets/')[1].split('/resolve/main/')
repo_id = parts[0]
# The remaining path may contain subfolders and filename
full_path = parts[1]
# Extract the filename and subfolder
if '/' in full_path:
subfolder, filename = full_path.rsplit('/', 1)
else:
subfolder = None
filename = full_path
print(f"Downloading from HF repo '{repo_id}', filename '{filename}', subfolder '{subfolder}'")
# Download using huggingface_hub
local_path = hf_hub_download(
repo_id=repo_id,
filename=filename,
subfolder=subfolder,
repo_type="dataset",
local_dir=constants.TMPDIR,
local_dir_use_symlinks=False
)
return local_path
else:
# Fall back to standard download for other HF URLs
print("URL format not recognized for huggingface_hub download, falling back to standard method")
except Exception as e:
print(f"Error using huggingface_hub download: {e}, falling back to standard method")
# Standard download for non-HF URLs or as fallback
print(f"Downloading {url} to {local_path}")
urllib.request.urlretrieve(url, local_path)
return local_path
except Exception as e:
print(f"Error downloading file {url}: {e}")
return url # Return original URL if download fails
def load_data(request: gr.Request, model_3d, image_slider):
"""
Load data from query parameters, download files if needed,
and use current component values as defaults if no query parameters are provided.
If query parameters are provided, generate a permalink using storage.generate_permalink_from_urls.
Parameters:
request: Gradio request object containing query parameters.
model_3d: Current value or component for the 3D model.
image_slider: Current value or component for the image slider.
Returns:
tuple: (model_url, slider_images, permalink)
- model_url: processed URL for the 3D model.
- slider_images: processed list of image URLs.
- permalink: a generated permalink if query parameters were provided,
or an empty string if not.
"""
# Parse query parameters.
query_params = dict(request.query_params) if request is not None else {}
# Extract URLs from query parameters.
model_url = query_params.get("3d", None)
hm_url = query_params.get("hm", None)
img_url = query_params.get("image", None)
# Process the model URL if provided.
if model_url:
model_url = process_url(model_url, default_ext=".glb")
# Process image URLs if provided.
slider_images = []
if img_url:
local_img = process_url(img_url, default_ext=".png")
if local_img:
slider_images.append(local_img)
if hm_url:
local_hm = process_url(hm_url, default_ext=".png")
if local_hm:
slider_images.append(local_hm)
# Set default values if no URLs provided:
default_model = getattr(model_3d, "value", model_3d)
default_images = getattr(image_slider, "value", image_slider)
if not slider_images:
slider_images = default_images if not default_images == (None,None) else constants.default_slider_images
if not model_url:
model_url = default_model if default_model else constants.default_model_3d
# If any query parameters were provided, generate a permalink.
permalink = ""
if query_params:
try:
# Use the helper function defined in storage.py
permalink = storage.generate_permalink_from_urls(model_url, hm_url, img_url)
except Exception as e:
print(f"Error generating permalink: {e}")
return model_url, slider_images, permalink
def process_upload(files, current_model, current_images):
"""
Process uploaded files and assign them to the appropriate component based on file extension.
Files with extensions in [".glb", ".gltf", ".obj", ".ply"] are sent to the Model3D component.
Files with extensions in [".png", ".jpg", ".jpeg"] are sent to the ImageSlider component.
The function merges the uploaded files with current data. If a file for a component is not
provided in the upload (i.e. not exactly 1 model file or not exactly 2 image files), then the
original data will be retained for that component. If an upload is provided, it will replace
the corresponding value.
For the ImageSlider, if a single image is provided in the upload, it will update only the first
image slot, leaving the second slot unchanged.
"""
extracted_model = None
extracted_images = []
# Ensure files is a list.
if not isinstance(files, list):
files = [files]
for f in files:
# f can be a file path (string) or an object with attribute `name`
file_name = f.name if hasattr(f, "name") else f
ext = os.path.splitext(file_name)[1].lower()
if ext in constants.model_extensions:
if extracted_model is None:
extracted_model = file_name
elif ext in constants.image_extensions:
if len(extracted_images) < 2:
extracted_images.append(file_name)
# Merge results with current data.
updated_model = extracted_model if extracted_model is not None else current_model
# Convert current_images if it's a tuple or a single item.
if isinstance(current_images, tuple):
current_images = list(current_images)
elif current_images is not None and not isinstance(current_images, list):
current_images = [current_images]
# For the image slider, we expect a list of exactly 2 images.
# Start with current images (or use defaults if None).
if current_images is None or not isinstance(current_images, list):
new_images = [None, None]
else:
new_images = current_images + [None] * (2 - len(current_images))
new_images = new_images[:2]
# If at least one image is uploaded, update the corresponding slot(s).
for i in range(len(extracted_images)):
if i < 2:
new_images[i] = extracted_images[i]
return updated_model, new_images
gr.set_static_paths(paths=["images/", "models/", "assets/"])
with gr.Blocks(css_paths="style_20250503.css", title="3D viewer", theme='Surn/beeuty',delete_cache=(21600,86400), fill_width=True) as viewer3d:
gr.Markdown("# 3D Model Viewer")
with gr.Row():
with gr.Column():
model_3d = gr.Model3D(
label="3D Model",
value=None,
height=480,
elem_id="model_3d", key="model_3d", clear_color=[1.0, 1.0, 1.0, 0.1],
elem_classes="centered solid imgcontainer", interactive=True
)
image_slider = gr.ImageSlider(
label="2D Images",
value=None,
height=480,
elem_id="image_slider", key="image_slider",
type="filepath"
)
with gr.Row():
gr.Markdown("## Upload your own files")
gr.Markdown("### Supported formats: " + ", ".join([f"`{ext}`" for ext in constants.upload_file_types]))
with gr.Row():
upload_btn = gr.UploadButton(
"Upload 3D Files", elem_id="upload_btn", key="upload_btn",
file_count="multiple",
file_types=constants.upload_file_types
)
with gr.Row():
# New textbox for folder name.
folder_name_box = gr.Textbox(
label="Folder Name",
value=default_folder,
elem_id="folder_name",
key="folder_name",
placeholder="Enter folder name...",
elem_classes="solid centered"
)
permalink_button = gr.Button("Generate Permalink", elem_id="permalink_button", key="permalink_button", elem_classes="solid small centered")
with gr.Row(visible=False, elem_id="permalink_row") as permalink_row:
permalink = gr.Textbox(
show_copy_button=True,
label="Permalink",
elem_id="permalink",
key="permalink",
elem_classes="solid centered",
max_lines=5,
lines=3
)
gr.Markdown("### Copy the permalink to share your model and images.", elem_classes="solid centered",)
with gr.Row():
gr.HTML(value=getVersions(), visible=True, elem_id="versions")
# Use JavaScript to pass the query parameters to your callback.
viewer3d.load(
load_data,
inputs=[model_3d, image_slider],
outputs=[model_3d, image_slider, permalink],
scroll_to_output=True
).then(
# If the returned permalink (link) is non-empty then make the permalink row visible
# and disable the permalink button; otherwise, hide the row and enable the button.
lambda link: (gr.update(visible=True), gr.update(interactive=False))
if link and len(link) > 0
else (gr.update(visible=False), gr.update(interactive=True)),
inputs=[permalink],
outputs=[permalink_row, permalink_button]
)
# Process uploaded files to update the Model3D or ImageSlider component.
upload_btn.upload(
process_upload,
inputs=[upload_btn, model_3d, image_slider],
outputs=[model_3d, image_slider],
scroll_to_output=True,
api_name="process_upload",
show_progress=True
).then(
# After a successful upload, enable the permalink button.
lambda m, i: gr.update(interactive=True),
inputs=[model_3d, image_slider],
outputs=[permalink_button]
)
# Generate a permalink based on the current model, images, and folder name.
permalink_button.click(
lambda model, images, folder: storage.upload_files_to_repo(
files=[model] + list(images),
repo_id="Surn/Storage",
folder_name=folder,
create_permalink=True,
repo_type="dataset"
)[1], # Extract the permalink from the returned tuple if criteria met.
inputs=[model_3d, image_slider, folder_name_box],
outputs=[permalink],
scroll_to_output=True
).then(
lambda link: gr.update(visible=True) if link and len(link) > 0 else gr.update(visible=False),
inputs=[permalink],
outputs=[permalink_row]
)
if __name__ == "__main__":
viewer3d.launch(
allowed_paths=["assets", "assets/", "./assets", "images/", "./images", 'e:/TMP', 'models/', '3d_model_viewer/'],
favicon_path="./assets/favicon.ico", show_api=True, strict_cors=False
) |