add app.py

app.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import os
+from subprocess import getoutput
+
+import gradio as gr
+import torch
+
+from app_inference import create_inference_demo
+from app_training import create_training_demo
+from app_upload import create_upload_demo
+from inference import InferencePipeline
+from trainer import Trainer
+
+TITLE = '# [Video-P2P](https://video-p2p.github.io/) UI'
+
+ORIGINAL_SPACE_ID = 'Shaldon/Video-P2P-Demo'
+SPACE_ID = os.getenv('SPACE_ID', ORIGINAL_SPACE_ID)
+GPU_DATA = getoutput('nvidia-smi')
+SHARED_UI_WARNING = f'''## Attention - Training doesn't work in this shared UI. You can duplicate and use it with a paid private T4 GPU.
+<center><a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="margin-top:0;margin-bottom:0" src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></center>
+'''
+
+if os.getenv('SYSTEM') == 'spaces' and SPACE_ID != ORIGINAL_SPACE_ID:
+    SETTINGS = f'<a href="https://huggingface.co/spaces/{SPACE_ID}/settings">Settings</a>'
+else:
+    SETTINGS = 'Settings'
+
+INVALID_GPU_WARNING = f'''## Attention - the specified GPU is invalid. Training may not work. Make sure you have selected a `T4 GPU` for this task.'''
+
+CUDA_NOT_AVAILABLE_WARNING = f'''## Attention - Running on CPU.
+<center>
+You can assign a GPU in the {SETTINGS} tab if you are running this on HF Spaces.
+You can use "T4 small/medium" to run this demo.
+</center>
+'''
+
+HF_TOKEN_NOT_SPECIFIED_WARNING = f'''The environment variable `HF_TOKEN` is not specified. Feel free to specify your Hugging Face token with write permission if you don't want to manually provide it for every run.
+<center>
+You can check and create your Hugging Face tokens <a href="https://huggingface.co/settings/tokens" target="_blank">here</a>.
+You can specify environment variables in the "Repository secrets" section of the {SETTINGS} tab.
+</center>
+'''
+
+HF_TOKEN = os.getenv('HF_TOKEN')
+
+
+def show_warning(warning_text: str) -> gr.Blocks:
+    with gr.Blocks() as demo:
+        with gr.Box():
+            gr.Markdown(warning_text)
+    return demo
+
+
+pipe = InferencePipeline(HF_TOKEN)
+trainer = Trainer(HF_TOKEN)
+
+with gr.Blocks(css='style.css') as demo:
+    if SPACE_ID == ORIGINAL_SPACE_ID:
+        show_warning(SHARED_UI_WARNING)
+    elif not torch.cuda.is_available():
+        show_warning(CUDA_NOT_AVAILABLE_WARNING)
+    elif (not 'T4' in GPU_DATA):
+        show_warning(INVALID_GPU_WARNING)
+
+    gr.Markdown(TITLE)
+    with gr.Tabs():
+        with gr.TabItem('Train'):
+            create_training_demo(trainer, pipe)
+        with gr.TabItem('Run'):
+            create_inference_demo(pipe, HF_TOKEN)
+        with gr.TabItem('Upload'):
+            gr.Markdown('''
+            - You can use this tab to upload models later if you choose not to upload models in training time or if upload in training time failed.
+            ''')
+            create_upload_demo(HF_TOKEN)
+
+    if not HF_TOKEN:
+        show_warning(HF_TOKEN_NOT_SPECIFIED_WARNING)
+
+demo.queue(max_size=1).launch(share=False)