Update app_t2v.py

app_t2v.py

@@ -20,12 +20,8 @@ pipe = WanPipeline.from_pretrained(
 pipe.to(device)
 
 # Core inference function
-def get_duration(
-   prompt, negative_prompt, height, width, num_frames, guidance_scale, guidance_scale_2, num_steps
-):
-    return steps * 15
 
-@spaces.GPU(duration=get_duration)
+@spaces.GPU(duration=200)
 def generate_video(prompt, negative_prompt, height, width, num_frames, guidance_scale, guidance_scale_2, num_steps):
     with torch.autocast("cuda", dtype=dtype):
         output = pipe(