Spaces:
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make user history installable
Browse files- README.md +36 -34
- app.py +3 -5
- setup.py +57 -0
- src/gradio_user_history/__init__.py +21 -0
- user_history.py → src/gradio_user_history/_user_history.py +2 -19
README.md
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@@ -12,7 +12,7 @@ hf_oauth: true
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# Bring User History to your Spaces 🚀
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## Key features:
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@@ -27,59 +27,61 @@ Want more? Please open an issue in the [Community Tab](https://huggingface.co/sp
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## Integration
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1. Enable OAuth in your Space by adding `oauth: true` to your README (see [here](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/README.md?code=true#L10))
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2. Add a Persistent Storage in your Space settings. Without it, the history will not be saved permanently. Every restart of your Space will erase all the data. If you start with a small tier, it's always possible to increase the disk space later without loosing the data.
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3. Copy [`user_history.py`](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/user_history.py) at the root of your project.
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4. Import in your main file with `import user_history` (see [here](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/app.py#L10))
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5. Integrate to your `generate`-like methods. Any function called by Gradio and that generates one or multiple images is a good candidate.
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1. Add `profile: gr.OAuthProfile | None` as argument to the function (see [here](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/app.py#L16)). This will tell Gradio that it needs to inject the user profile for you.
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2. Use `user_history.save_image(label=..., image=..., profile=profile, metadata=...)` (as done [here](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/app.py#L32))
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1. `label` is the label of the image. Usually the prompt used to generate it.
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2. `image` is the generated image. It can be a path to a stored image, a `PIL.Image` object or a numpy array.
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3. `profile` is the user profile injected by Gradio
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4. `metadata` (optional) is any additional information you want to add. It has to be a json-able dictionary.
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3. Finally use `user_history.render()` to render the "Past generations" section (see [here](https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/app.py#L53)). A good practice is to set it in a different tab to avoid overloading your first page. You don't have to modify anything of your existing `gr.Blocks` section: just render it inside a Tab.
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```py
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import gradio as gr
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import
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#
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def generate(prompt: str, profile: gr.OAuthProfile | None):
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image = ...
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#
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return image
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gallery = gr.Image()
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prompt.submit(fn=generate, inputs=prompt, outputs=gallery)
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# 3. Render user history
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with gr.Blocks() as demo_with_history:
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with gr.Tab("Demo"):
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demo.render()
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with gr.Tab("Past generations"):
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user_history.render()
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```
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## Useful links
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- **Demo:** https://huggingface.co/spaces/Wauplin/gradio-user-history
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- **README:** https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/README.md
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- **Source file:** https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/user_history.py
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- **
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## Preview
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# Bring User History to your Spaces 🚀
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**Gradio User History** is a plugin (and package) that caches generated images for your Space users.
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## Key features:
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## Integration
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Integrate *Gradio User History* in just a few steps:
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1. Enable OAuth
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```yaml
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# README.md
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---
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hf_oauth: true
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---
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```
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2. Add dependency in `requirements.txt`
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```bash
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# requirements.txt
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git+https://huggingface.co/spaces/Wauplin/gradio-user-history
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```
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3. Integrate into your Gradio app
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```py
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# app.py
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import gradio as gr
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import gradio_user_history as gr_user_history
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(...)
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# => Inject gr.OAuthProfile
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def generate(prompt: str, profile: gr.OAuthProfile | None):
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image = ...
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# => Save generated image(s)
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gr_user_history.save_image(label=prompt, image=image, profile=profile)
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return image
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# => Render user history
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with gr.Blocks() as demo:
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(...)
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# or `with gr.Tab("Past generations"):`
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with gr.Accordion("Past generations", open=False):
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gr_user_history.render()
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```
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4. (optional) Add Persistent Storage in your Space settings.
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Persistent Storage is suggested but not mandatory. If not enabled, the history is lost each time the Space restarts.
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And you're done!
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## Useful links
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- **Demo:** https://huggingface.co/spaces/Wauplin/gradio-user-history
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- **README:** https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/README.md
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- **Source file:** https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/user_history.py
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- **Questions and feedback:** https://huggingface.co/spaces/Wauplin/gradio-user-history/discussions
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## Preview
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app.py
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#!/usr/bin/env python
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import json
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import pathlib
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import tempfile
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from pathlib import Path
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import gradio as gr
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from gradio_client import Client
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import user_history
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client = Client("runwayml/stable-diffusion-v1-5")
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# Saving user history
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for path in paths:
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return paths # type: ignore
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with gr.Tab("Demo"):
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demo.render()
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with gr.Tab("Past generations"):
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if __name__ == "__main__":
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demo_with_history.queue().launch()
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#!/usr/bin/env python
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import json
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import pathlib
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import tempfile
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from pathlib import Path
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import gradio as gr
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import gradio_user_history as gr_user_history
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from gradio_client import Client
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client = Client("runwayml/stable-diffusion-v1-5")
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# Saving user history
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for path in paths:
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gr_user_history.save_image(label=prompt, image=path, profile=profile, metadata=metadata)
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return paths # type: ignore
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with gr.Tab("Demo"):
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demo.render()
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with gr.Tab("Past generations"):
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gr_user_history.render()
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if __name__ == "__main__":
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demo_with_history.queue().launch()
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setup.py
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from setuptools import find_packages, setup
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def get_version() -> str:
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rel_path = "src/gradio_user_history/__init__.py"
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with open(rel_path, "r") as fp:
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for line in fp.read().splitlines():
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if line.startswith("__version__"):
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delim = '"' if '"' in line else "'"
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return line.split(delim)[1]
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raise RuntimeError("Unable to find version string.")
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install_requires = [
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"gradio[oauth]>=3.44",
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]
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extras = {}
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extras["dev"] = [
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"ruff",
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"black",
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"mypy",
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]
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setup(
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name="gradio_user_history",
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version=get_version(),
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author="Lucain Pouget",
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author_email="[email protected]",
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description="A package to store user history in a gradio app.",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords="gradio oauth machine-learning",
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license="Apache",
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url="https://huggingface.co/spaces/Wauplin/gradio-user-history",
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package_dir={"": "src"},
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packages=find_packages("src"),
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extras_require=extras,
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python_requires=">=3.8.0",
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install_requires=install_requires,
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classifiers=[
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3 :: Only",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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)
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src/gradio_user_history/__init__.py
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"""
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User History is a plugin that you can add to your Spaces to cache generated images for your users.
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Key features:
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- 🤗 Sign in with Hugging Face
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- Save generated images with their metadata: prompts, timestamp, hyper-parameters, etc.
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- Export your history as zip.
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- Delete your history to respect privacy.
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- Compatible with Persistent Storage for long-term storage.
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- Admin panel to check configuration and disk usage .
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Useful links:
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- Demo: https://huggingface.co/spaces/Wauplin/gradio-user-history
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- README: https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/README.md
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- Source file: https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/user_history.py
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- Discussions: https://huggingface.co/spaces/Wauplin/gradio-user-history/discussions
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"""
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from ._user_history import render, save_image, setup # noqa: F401
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__version__ = "0.1.0"
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user_history.py → src/gradio_user_history/_user_history.py
RENAMED
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"""
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User History is a plugin that you can add to your Spaces to cache generated images for your users.
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Key features:
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- 🤗 Sign in with Hugging Face
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- Save generated images with their metadata: prompts, timestamp, hyper-parameters, etc.
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- Export your history as zip.
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- Delete your history to respect privacy.
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- Compatible with Persistent Storage for long-term storage.
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- Admin panel to check configuration and disk usage .
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Useful links:
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- Demo: https://huggingface.co/spaces/Wauplin/gradio-user-history
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- README: https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/README.md
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- Source file: https://huggingface.co/spaces/Wauplin/gradio-user-history/blob/main/user_history.py
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- Discussions: https://huggingface.co/spaces/Wauplin/gradio-user-history/discussions
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"""
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import json
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import os
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import shutil
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gallery = gr.Gallery(
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label="Past images",
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show_label=True,
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elem_id="
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object_fit="contain",
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columns=5,
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height=600,
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return Path("/data") / "_user_history"
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# Not in a Space or Persistent storage not enabled => local folder
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return Path(
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def _archives_path() -> Path:
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import json
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import os
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import shutil
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gallery = gr.Gallery(
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label="Past images",
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show_label=True,
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elem_id="gradio_user_history_gallery",
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object_fit="contain",
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columns=5,
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height=600,
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return Path("/data") / "_user_history"
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# Not in a Space or Persistent storage not enabled => local folder
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return Path("_user_history").resolve()
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def _archives_path() -> Path:
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