path

app.py

@@ -317,7 +317,8 @@ with gr.Blocks() as app:
     gr.Markdown("1. We provide two APIs: Image-conditioned generation and Text-conditioned generation")
     gr.Markdown("2. Note that the Image-conditioned model is trained on multiple 3D datasets like ShapeNet and Objaverse")
     gr.Markdown("3. We provide some examples for you to try. You can also upload images or text as input.")
-    gr.Markdown("4. Welcome to share your amazing results with us, and thanks for your interest in our work!")
+    gr.Markdown("4. To make it convenient to take favor results home, we provide download buttons for each OBJ file and a combined HTML file.")
+    gr.Markdown("5. Welcome to share suggestions or amazing results with us, and thanks for your interest in our work!")
     
     with gr.Row():
         with gr.Column():
@@ -369,7 +370,6 @@ with gr.Blocks() as app:
         img.upload(disable_cache, outputs=cache_dir)
         examples.select(set_cache, outputs=[img, cache_dir])
         print(os.path.abspath(os.path.dirname(__file__)), flush=True)
-        model_path = snapshot_download(repo_id="Maikou/Michelangelo")
         print(model_path, flush=True)
         print(f'line:404: {cache_dir}', flush=True)
         btn_generate_img2obj.click(image2mesh, inputs=[img, image_dropdown_models, num_samples,