add one click generate glb

app.py

@@ -119,7 +119,7 @@ def image_to_3d(
     slat_sampling_steps: int,
     multiimage_algo: Literal["multidiffusion", "stochastic"],
     req: gr.Request,
-) -> Tuple[dict, str, str]:
+) -> Tuple[dict, str]:
     """
     Convert an image (or multiple images) into a 3D model and return its state and video.
 
@@ -137,7 +137,6 @@ def image_to_3d(
     Returns:
         dict: The information of the generated 3D model.
         str: The path to the video of the 3D model.
-        str: serialized JSON of state
 
     """
     user_dir = os.path.join(TMP_DIR, str(req.session_hash))
@@ -188,7 +187,7 @@ def image_to_3d(
     # Pack state for downstream use
     state = pack_state(outputs['gaussian'][0], outputs['mesh'][0])
     torch.cuda.empty_cache()
-    return state, video_path, json.dumps(state)
+    return state, video_path
 
 
 
@@ -321,11 +320,15 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
             
             with gr.Row():
                 download_glb = gr.DownloadButton(label="Download GLB", interactive=False)
-                download_gs = gr.DownloadButton(label="Download Gaussian", interactive=False)  
+                download_gs = gr.DownloadButton(label="Download Gaussian", interactive=False)
+
+            with gr.Accordion("Quick GLB from Image", open=False):
+                generate_glb_btn = gr.Button("Upload and Generate GLB Automatically")
+                quick_video = gr.Video(label="Quick 3D Preview", autoplay=True, loop=True)
+                quick_glb_download = gr.DownloadButton(label="Download GLB", interactive=False)  
     
     is_multiimage = gr.State(False)
     output_buf = gr.State()
-    state_textbox = gr.Textbox(visible=False, label="Serialized State")
 
     # Example images at the bottom of the page
     with gr.Row() as single_image_example:
@@ -385,7 +388,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
             ss_guidance_strength, ss_sampling_steps,
             slat_guidance_strength, slat_sampling_steps, multiimage_algo
         ],
-        outputs=[output_buf, video_output, state_textbox],  # multi output
+        outputs=[output_buf, video_output],
     ).then(
         lambda: tuple([gr.Button(interactive=True), gr.Button(interactive=True)]),
         outputs=[extract_glb_btn, extract_gs_btn],
@@ -418,6 +421,27 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
         lambda: gr.Button(interactive=False),
         outputs=[download_glb],
     )
+
+    generate_glb_btn.click(
+        lambda: get_seed(True, 0),
+        outputs=[seed]
+    ).then(
+        image_to_3d,
+        inputs=[
+            image_prompt,
+            gr.State([]),
+            gr.State(False),
+            seed,
+            gr.State(7.5), gr.State(12),
+            gr.State(3.0), gr.State(12),
+            gr.State("stochastic")
+        ],
+        outputs=[output_buf, quick_video],
+    ).then(
+        extract_glb,
+        inputs=[output_buf, mesh_simplify, texture_size],
+        outputs=[model_output, quick_glb_download]
+    )
     
 
 # Launch the Gradio app