Update app.py

app.py

@@ -101,8 +101,10 @@ def generate(prompt,
     scale_middle = scale_total.index(0)
     post_generation_slider_update = gr.update(label=comma_concepts_x, value=0, minimum=scale_min, maximum=scale_max, interactive=True)
     avg_diff_x = avg_diff.cpu()
-    
-    return x_concept_1,x_concept_2, avg_diff_x, export_to_video(images, f"{uuid.uuid4()}.mp4", fps=5), canvas, images, images[scale_middle], post_generation_slider_update, seed
+
+    video_path = f"{uuid.uuid4()}.mp4"
+    print(video_path)
+    return x_concept_1,x_concept_2, avg_diff_x, export_to_video(images, video_path, fps=5), canvas, images, images[scale_middle], post_generation_slider_update, seed
 
 def update_pre_generated_images(slider_value, total_images):
     number_images = len(total_images)
@@ -174,7 +176,7 @@ with gr.Blocks(css=css) as demo:
         with gr.Column(scale=2, min_width=100):
             output_image = gr.Video(label="Looping video", elem_id="video", loop=True, autoplay=True)
     with gr.Accordion(label="Advanced options", open=False):
-        interm_steps = gr.Slider(label = "Num of intermediate images", minimum=3, value=7, maximum=65, step=2)
+        interm_steps = gr.Slider(label = "Num of intermediate images", minimum=3, value=9, maximum=65, step=2)
         with gr.Row():
             iterations = gr.Slider(label = "Num iterations for clip directions", minimum=0, value=200, maximum=400, step=1)
             steps = gr.Slider(label = "Num inference steps", minimum=1, value=3, maximum=4, step=1)