Update

app.py

@@ -52,6 +52,7 @@ def generate(
     seed: int,
     num_frames: int,
     num_inference_steps: int,
+    progress=gr.Progress(track_tqdm=True),
 ) -> str:
     generator = torch.Generator().manual_seed(seed)
     frames = pipe(
@@ -78,7 +79,7 @@ with gr.Blocks(css="style.css") as demo:
         elem_id="duplicate-button",
         visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
     )
-    with gr.Box():
+    with gr.Group():
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",
@@ -89,30 +90,30 @@ with gr.Blocks(css="style.css") as demo:
             )
             run_button = gr.Button("Generate video", scale=0)
         result = gr.Video(label="Result", show_label=False)
-        with gr.Accordion("Advanced options", open=False):
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            num_frames = gr.Slider(
-                label="Number of frames",
-                minimum=24,
-                maximum=MAX_NUM_FRAMES,
-                step=1,
-                value=24,
-                info="Note that the content of the video also changes when you change the number of frames.",
-            )
-            num_inference_steps = gr.Slider(
-                label="Number of inference steps",
-                minimum=10,
-                maximum=50,
-                step=1,
-                value=25,
-            )
+    with gr.Accordion("Advanced options", open=False):
+        seed = gr.Slider(
+            label="Seed",
+            minimum=0,
+            maximum=MAX_SEED,
+            step=1,
+            value=0,
+        )
+        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+        num_frames = gr.Slider(
+            label="Number of frames",
+            minimum=24,
+            maximum=MAX_NUM_FRAMES,
+            step=1,
+            value=24,
+            info="Note that the content of the video also changes when you change the number of frames.",
+        )
+        num_inference_steps = gr.Slider(
+            label="Number of inference steps",
+            minimum=10,
+            maximum=50,
+            step=1,
+            value=25,
+        )
 
     inputs = [
         prompt,

requirements.txt

@@ -1,9 +1,9 @@
-accelerate==0.23.0
-diffusers==0.21.2
-gradio==3.45.2
-huggingface-hub==0.17.2
-imageio[ffmpeg]==2.31.3
-spaces==0.15.0
+accelerate==0.25.0
+diffusers==0.24.0
+gradio==4.8.0
+huggingface-hub==0.19.4
+imageio[ffmpeg]==2.33.1
+spaces==0.18.0
 torch==2.0.0
 torchvision==0.15.1
-transformers==4.33.2
+transformers==4.36.0