test app from TEXTure

app.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import os
+
+import gradio as gr
+
+from model import Model
+
+DESCRIPTION = '''# [TEXTure](https://github.com/TEXTurePaper/TEXTurePaper)
+
+- This demo only accepts as input `.obj` files with less than 100,000 faces.
+- Inference takes about 10 minutes on a T4 GPU.
+'''
+if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
+    DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
+
+model = Model()
+
+with gr.Blocks(css='style.css') as demo:
+    gr.Markdown(DESCRIPTION)
+    with gr.Row():
+        with gr.Column():
+            input_shape = gr.Model3D(label='Input 3D mesh')
+            text = gr.Text(label='Text')
+            seed = gr.Slider(label='Seed',
+                             minimum=0,
+                             maximum=100000,
+                             value=3,
+                             step=1)
+            guidance_scale = gr.Slider(label='Guidance scale',
+                                       minimum=0,
+                                       maximum=50,
+                                       value=7.5,
+                                       step=0.1)
+            run_button = gr.Button('Run')
+        with gr.Column():
+            progress_text = gr.Text(label='Progress')
+            with gr.Tabs():
+                with gr.TabItem(label='Images from each viewpoint'):
+                    viewpoint_images = gr.Gallery(show_label=False).style(
+                        columns=4, height='auto')
+                with gr.TabItem(label='Result 3D model'):
+                    result_3d_model = gr.Model3D(show_label=False)
+                with gr.TabItem(label='Output mesh file'):
+                    output_file = gr.File(show_label=False)
+    with gr.Row():
+        examples = [
+            ['shapes/dragon1.obj', 'a photo of a dragon', 0, 7.5],
+            ['shapes/dragon2.obj', 'a photo of a dragon', 0, 7.5],
+            ['shapes/eagle.obj', 'a photo of an eagle', 0, 7.5],
+            ['shapes/napoleon.obj', 'a photo of Napoleon Bonaparte', 3, 7.5],
+            ['shapes/nascar.obj', 'A next gen nascar', 2, 10],
+        ]
+        gr.Examples(examples=examples,
+                    inputs=[
+                        input_shape,
+                        text,
+                        seed,
+                        guidance_scale,
+                    ],
+                    outputs=[
+                        result_3d_model,
+                        output_file,
+                    ],
+                    cache_examples=False)
+
+    run_button.click(fn=model.run,
+                     inputs=[
+                         input_shape,
+                         text,
+                         seed,
+                         guidance_scale,
+                     ],
+                     outputs=[
+                         viewpoint_images,
+                         result_3d_model,
+                         output_file,
+                         progress_text,
+                     ])
+
+demo.queue(max_size=5).launch(debug=True)