add comments and make demo sharable

app.py

@@ -3,12 +3,6 @@ import argparse
 import os, sys
 import torch
 
-# def greet(name):
-#     return "Hello " + name + "!!"
-
-# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-# iface.launch()
-
 def parse_args() -> argparse.Namespace:
     parser = argparse.ArgumentParser()
     parser.add_argument('--device', type=str, default='cpu')
@@ -25,16 +19,16 @@ def parse_args() -> argparse.Namespace:
 
 _TITLE = '''DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation'''
 
-
 _DESCRIPTION = '''
 <div>
-<a style="display:inline-block" href="https://dreamgaussian.github.io">Public Website</a>
+<a style="display:inline-block" href="https://dreamgaussian.github.io"><img src='https://img.shields.io/badge/public_website-8A2BE2'></a>
 <a style="display:inline-block; margin-left: .5em" href="https://arxiv.org/abs/2309.16653"><img src="https://img.shields.io/badge/2306.16928-f9f7f7?logo=data:image/png;base64,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"></a>
 <a style="display:inline-block; margin-left: .5em" href='https://github.com/dreamgaussian/dreamgaussian'><img src='https://img.shields.io/github/stars/dreamgaussian/dreamgaussian?style=social'/></a>
 </div>
 We present DreamGausssion, a 3D content generation framework that significantly improves the efficiency of 3D content creation. 
 '''
-_USER_GUIDE = "Please upload an image in the block above (or choose an example above) and click **Run Generation**." 
+_IMG_USER_GUIDE = "Please upload an image in the block above (or choose an example above) and click **Run Generation**." 
+_TXT_USER_GUIDE = "Please type what you want to generate in the block above and click **Run Generation**." 
 
 # trigger Image-to-3D model
 def inference_img(img):
@@ -49,6 +43,7 @@ def run_demo():
     args.device = 'cuda' if torch.cuda.is_available() else 'cpu'
     print('*** Now using %s.'%(args.device))
 
+    # append README as extra info
     with open('README.md', 'r') as f:
         article = f.read()
 
@@ -73,6 +68,11 @@ def run_demo():
             with gr.Column(scale=6):
                 image_block = gr.Image(type='pil', image_mode='RGBA', height=290, label='Input image', tool=None)
 
+                elevation_slider = gr.Slider(-90, 90, value=0, step=1, label='Estimated elevation angle')
+                gr.Markdown("default to 0 (horizontal), range from [-90, 90]. If you upload a look-down image, try a value like -30")
+
+                preprocess_chk = gr.Checkbox(True, label='Preprocess image automatically (remove background and recenter object)')
+
                 gr.Examples(
                     examples=examples_full,  # NOTE: elements must match inputs list!
                     inputs=[image_block],
@@ -82,9 +82,10 @@ def run_demo():
                     examples_per_page=40
                 )
                 img_run_btn = gr.Button('Run Generation', variant='primary', interactive=False)
-                img_guide_text = gr.Markdown(_USER_GUIDE, visible=True)
+                img_guide_text = gr.Markdown(_IMG_USER_GUIDE, visible=True)
                 
             with gr.Column(scale=4):
+                processed_image_block = gr.Image(type='pil', image_mode='RGBA', height=290, label='Processed image', tool=None)
                 img_mesh_output = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], label="Textured Mesh", elem_id="img-model-3d-out")
         
         # Text-to-3D
@@ -93,7 +94,7 @@ def run_demo():
                 text_block = gr.Textbox(label="Input text")
 
                 txt_run_btn = gr.Button('Run Generation', variant='primary', interactive=False)
-                txt_guide_text = gr.Markdown(_USER_GUIDE, visible=True)
+                txt_guide_text = gr.Markdown(_TXT_USER_GUIDE, visible=True)
                 
             with gr.Column(scale=4):
                 txt_mesh_output = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], label="Textured Mesh", elem_id="txt-model-3d-out")
@@ -107,7 +108,7 @@ def run_demo():
             </div>
         """)
 
-    demo.queue().launch(share=False, max_threads=80) # auth=("admin", os.environ['PASSWD'])
+    demo.queue().launch(share=True, max_threads=80) # auth=("admin", os.environ['PASSWD'])
 
 if __name__ == '__main__':
-    run_demo()
+    run_demo()