[Feat] Add user history (#4)
Browse files- Upload folder using huggingface_hub (4d84406f454a4403ed4182cd9c692c3cb93159cc)
- Update README.md (c34c3cfcc38cbee2e7d40af18e8161161af8f97d)
- Update app.py (9a59460dc560154dc715338e6667eb0cc816b90e)
- Update app.py (9731d8247c28097b1b189f82c84b139cbb834724)
- Update app.py (1b7bc92860b69559ff224d307c6a81c5a599a438)
- Update gallery_history.py (9a1020470b0772477893598918634c9932d8592b)
- Update gallery_history.py (bea6b54c4d326c7b17e437d29e7b2a525f1085ad)
- Update gallery_history.py (bafbdeaea363c06c281b45fa02d33fde029f041c)
- Update gallery_history.py (1b24ae22efb7fe5081c7c51d5ff6380b2242712a)
- Update gallery_history.py (3db09b3c948fea6cc710bca8a861783752b333ee)
- Update gallery_history.py (9904ca7141618d2c24811b68856ae7829c5c2cc9)
- Update gallery_history.py (3b961b17162bed65534a333302070f14a8ca97ec)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>
- README.md +2 -1
- app.py +15 -3
- gallery_history.py +129 -0
- requirements.txt +2 -1
@@ -4,10 +4,11 @@ emoji: 🌍
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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-
sdk_version: 3.
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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sdk_version: 3.44.2
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app_file: app.py
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pinned: false
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license: mit
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hf_oauth: true
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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@@ -9,6 +9,9 @@ from diffusers.utils import numpy_to_pil
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from diffusers import WuerstchenDecoderPipeline, WuerstchenPriorPipeline
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from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS
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from previewer.modules import Previewer
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os.environ['TOKENIZERS_PARALLELISM'] = 'false'
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DESCRIPTION = "# Würstchen"
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@@ -38,7 +41,7 @@ if torch.cuda.is_available():
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if USE_TORCH_COMPILE:
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prior_pipeline.prior = torch.compile(prior_pipeline.prior, mode="reduce-overhead", fullgraph=True)
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decoder_pipeline.decoder = torch.compile(decoder_pipeline.decoder, mode="reduce-overhead", fullgraph=True)
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-
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if PREVIEW_IMAGES:
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previewer = Previewer()
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previewer.load_state_dict(torch.load("previewer/text2img_wurstchen_b_v1_previewer_100k.pt")["state_dict"])
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@@ -48,6 +51,7 @@ if torch.cuda.is_available():
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output = previewer(latents)
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output = numpy_to_pil(output.clamp(0, 1).permute(0, 2, 3, 1).cpu().numpy())
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return output
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else:
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previewer = None
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callback_prior = None
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@@ -96,7 +100,7 @@ def generate(
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if isinstance(r, list):
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yield r
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prior_output = r
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-
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decoder_output = decoder_pipeline(
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image_embeddings=prior_output.image_embeddings,
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prompt=prompt,
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@@ -209,6 +213,8 @@ with gr.Blocks(css="style.css") as demo:
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cache_examples=CACHE_EXAMPLES,
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)
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inputs = [
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prompt,
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negative_prompt,
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@@ -234,6 +240,8 @@ with gr.Blocks(css="style.css") as demo:
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inputs=inputs,
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outputs=result,
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api_name="run",
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)
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negative_prompt.submit(
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fn=randomize_seed_fn,
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@@ -246,6 +254,8 @@ with gr.Blocks(css="style.css") as demo:
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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run_button.click(
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fn=randomize_seed_fn,
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@@ -258,7 +268,9 @@ with gr.Blocks(css="style.css") as demo:
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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from diffusers import WuerstchenDecoderPipeline, WuerstchenPriorPipeline
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from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS
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from previewer.modules import Previewer
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from gallery_history import fetch_gallery_history, show_gallery_history
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os.environ['TOKENIZERS_PARALLELISM'] = 'false'
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DESCRIPTION = "# Würstchen"
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if USE_TORCH_COMPILE:
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prior_pipeline.prior = torch.compile(prior_pipeline.prior, mode="reduce-overhead", fullgraph=True)
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decoder_pipeline.decoder = torch.compile(decoder_pipeline.decoder, mode="reduce-overhead", fullgraph=True)
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+
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if PREVIEW_IMAGES:
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previewer = Previewer()
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previewer.load_state_dict(torch.load("previewer/text2img_wurstchen_b_v1_previewer_100k.pt")["state_dict"])
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output = previewer(latents)
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output = numpy_to_pil(output.clamp(0, 1).permute(0, 2, 3, 1).cpu().numpy())
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return output
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else:
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previewer = None
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callback_prior = None
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if isinstance(r, list):
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yield r
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prior_output = r
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decoder_output = decoder_pipeline(
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image_embeddings=prior_output.image_embeddings,
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prompt=prompt,
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cache_examples=CACHE_EXAMPLES,
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)
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history = show_gallery_history()
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inputs = [
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prompt,
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negative_prompt,
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inputs=inputs,
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outputs=result,
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api_name="run",
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).then(
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fn=fetch_gallery_history, inputs=[prompt, result], outputs=history
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)
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negative_prompt.submit(
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fn=randomize_seed_fn,
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inputs=inputs,
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outputs=result,
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api_name=False,
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).then(
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fn=fetch_gallery_history, inputs=[prompt, result], outputs=history
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)
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run_button.click(
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fn=randomize_seed_fn,
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inputs=inputs,
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outputs=result,
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api_name=False,
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).then(
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fn=fetch_gallery_history, inputs=[prompt, result], outputs=history
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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@@ -0,0 +1,129 @@
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"""
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How to use:
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1. Create a Space with a Persistent Storage attached. Filesystem will be available under `/data`.
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2. Add `hf_oauth: true` to the Space metadata (README.md). Make sure to have Gradio>=3.41.0 configured.
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3. Add `HISTORY_FOLDER` as a Space variable (example. `"/data/history"`).
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4. Add `filelock` as dependency in `requirements.txt`.
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5. Add history gallery to your Gradio app:
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a. Add imports: `from gallery_history import fetch_gallery_history, show_gallery_history`
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a. Add `history = show_gallery_history()` within `gr.Blocks` context.
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b. Add `.then(fn=fetch_gallery_history, inputs=[prompt, result], outputs=history)` on the generate event.
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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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from pathlib import Path
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from typing import Dict, List, Optional, Tuple
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from uuid import uuid4
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import gradio as gr
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from filelock import FileLock
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_folder = os.environ.get("HISTORY_FOLDER")
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if _folder is None:
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print(
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"'HISTORY_FOLDER' environment variable not set. User history will be saved "
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"locally and will be lost when the Space instance is restarted."
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)
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_folder = Path(__file__).parent / "history"
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HISTORY_FOLDER_PATH = Path(_folder)
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IMAGES_FOLDER_PATH = HISTORY_FOLDER_PATH / "images"
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IMAGES_FOLDER_PATH.mkdir(parents=True, exist_ok=True)
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def show_gallery_history():
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gr.Markdown(
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"## Your past generations\n\n(Log in to keep a gallery of your previous generations."
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" Your history will be saved and available on your next visit.)"
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)
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with gr.Column():
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with gr.Row():
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gr.LoginButton(min_width=250)
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gr.LogoutButton(min_width=250)
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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="gallery",
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object_fit="contain",
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columns=3,
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height=300,
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preview=False,
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show_share_button=False,
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show_download_button=False,
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)
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gr.Markdown(
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"Make sure to save your images from time to time, this gallery may be deleted in the future."
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)
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gallery.attach_load_event(fetch_gallery_history, every=None)
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return gallery
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def fetch_gallery_history(
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prompt: Optional[str] = None,
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result: Optional[Dict] = None,
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user: Optional[gr.OAuthProfile] = None,
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):
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if user is None:
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return []
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try:
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if prompt is not None and result is not None: # None values means no new images
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return _update_user_history(
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user["preferred_username"], [(item["name"], prompt) for item in result]
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)
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else:
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return _read_user_history(user["preferred_username"])
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except Exception as e:
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raise gr.Error(f"Error while fetching history: {e}") from e
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####################
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# Internal helpers #
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####################
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def _read_user_history(username: str) -> List[Tuple[str, str]]:
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"""Return saved history for that user."""
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with _user_lock(username):
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path = _user_history_path(username)
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if path.exists():
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return json.loads(path.read_text())
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return [] # No history yet
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def _update_user_history(
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username: str, new_images: List[Tuple[str, str]]
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) -> List[Tuple[str, str]]:
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"""Update history for that user and return it."""
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with _user_lock(username):
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# Read existing
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path = _user_history_path(username)
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if path.exists():
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images = json.loads(path.read_text())
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else:
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images = [] # No history yet
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# Copy images to persistent folder
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images = [
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(_copy_image(src_path), prompt) for src_path, prompt in new_images
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] + images
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# Save and return
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path.write_text(json.dumps(images))
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return images
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def _user_history_path(username: str) -> Path:
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return HISTORY_FOLDER_PATH / f"{username}.json"
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def _user_lock(username: str) -> FileLock:
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"""Ensure history is not corrupted if concurrent calls."""
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return FileLock(f"{_user_history_path(username)}.lock")
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def _copy_image(src: str) -> str:
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"""Copy image to the persistent storage."""
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dst = IMAGES_FOLDER_PATH / f"{uuid4().hex}_{Path(src).name}" # keep file ext
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shutil.copyfile(src, dst)
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return str(dst)
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@@ -5,4 +5,5 @@ invisible-watermark==0.2.0
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Pillow==10.0.0
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torch==2.0.1
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transformers==4.32.1
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compel
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Pillow==10.0.0
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torch==2.0.1
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transformers==4.32.1
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compel
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filelock
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