Update app.py

app.py

@@ -194,13 +194,9 @@ def process(input_image, prompt, prompt_neg='', input_elevation=0, input_num_ste
 
 # gradio UI
 
-_TITLE = '''LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation'''
+_TITLE = '''LGM'''
 
 _DESCRIPTION = '''
-<div>
-<a style="display:inline-block" href="https://me.kiui.moe/lgm/"><img src='https://img.shields.io/badge/public_website-8A2BE2'></a>
-<a style="display:inline-block; margin-left: .5em" href="https://github.com/3DTopia/LGM"><img src='https://img.shields.io/github/stars/3DTopia/LGM?style=social'/></a>
-</div>
 
 *  Se você achar o resultado insatisfatório, tente mudar a barra de seeds!
 * O video é uma representação Parcial, o Resultado sera aprimorado por tecnicas de modelagem!
@@ -216,27 +212,25 @@ with block:
     with gr.Row(variant='panel'):
         with gr.Column(scale=1):
             # input image
-            input_image = gr.Image(label="image", type='pil')
+            input_image = gr.Image(label="imagem", type='pil')
             # input prompt
             input_text = gr.Textbox(label="prompt")
             # negative prompt
-            input_neg_text = gr.Textbox(label="negative prompt", value='ugly, blurry, pixelated obscure, unnatural colors, poor lighting, dull, unclear, cropped, lowres, low quality, artifacts, duplicate')
+            input_neg_text = gr.Textbox(label="prompt negativo", value='ugly, blurry, pixelated obscure, unnatural colors, poor lighting, dull, unclear, cropped, lowres, low quality, artifacts, duplicate')
             # elevation
-            input_elevation = gr.Slider(label="elevation", minimum=-90, maximum=90, step=1, value=0)
+            input_elevation = gr.Slider(label="elevação", minimum=-90, maximum=90, step=1, value=0)
             # inference steps
-            input_num_steps = gr.Slider(label="inference steps", minimum=1, maximum=100, step=1, value=30)
+            input_num_steps = gr.Slider(label="passos de inferencia", minimum=1, maximum=100, step=1, value=30)
             # random seed
-            input_seed = gr.Slider(label="random seed", minimum=0, maximum=100000, step=1, value=0)
+            input_seed = gr.Slider(label="seed aleatoria", minimum=0, maximum=100000, step=1, value=0)
             # gen button
-            button_gen = gr.Button("Generate")
+            button_gen = gr.Button("Gerar")
 
 
         with gr.Column(scale=1):
             with gr.Tab("Video"):
                 # final video results
                 output_video = gr.Video(label="video")
-                # ply file
-                output_file = gr.File(label="3D Gaussians (ply format)")
             with gr.Tab("Multi-view Image"):
                 # multi-view results
                 output_image = gr.Image(interactive=False, show_label=False)
@@ -256,7 +250,7 @@ with block:
         outputs=[output_image, output_video, output_file],
         fn=lambda x: process(input_image=x, prompt=''),
         cache_examples=True,
-        label='Image-to-3D Examples'
+        label='Image-to-3D Exemplos'
     )
 
     gr.Examples(
@@ -273,7 +267,7 @@ with block:
         outputs=[output_image, output_video, output_file],
         fn=lambda x: process(input_image=None, prompt=x),
         cache_examples=True,
-        label='Text-to-3D Examples'
+        label='Text-to-3D Exemplos'
     )
 
 block.launch()